CN109509225A - Detection method and device, storage medium and the processor of information - Google Patents
Detection method and device, storage medium and the processor of information Download PDFInfo
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- CN109509225A CN109509225A CN201811347463.XA CN201811347463A CN109509225A CN 109509225 A CN109509225 A CN 109509225A CN 201811347463 A CN201811347463 A CN 201811347463A CN 109509225 A CN109509225 A CN 109509225A
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/60—Analysis of geometric attributes
- G06T7/66—Analysis of geometric attributes of image moments or centre of gravity
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
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Abstract
This application discloses a kind of detection method and device of information, storage medium and processors.This method comprises: the first image in triggering imaging sensor acquisition first area；Image analysis is carried out to collected first image, determines the central point of object to be detected；Second area is determined according to the central point of object to be detected, wherein the regional scope of second area is less than the regional scope of first area；Trigger the second image in imaging sensor acquisition second area；According to the second image, the information of object to be detected is determined.By the application, solves in the related technology due to the high-speed motion of object to be detected, lead to the problem that detection efficiency is low.
Description
Technical field
This application involves technical field of vision detection, detection method and device, storage in particular to a kind of information
Medium and processor.
Background technique
In the prior art, the detection zone in usual Machine Vision Detection is all the fixed area that thing is chosen, in fixed area
The image for acquiring object to be detected in domain is detected.But the measurand for some quick movements and background complexity into
Row is taken pictures when detect, and is taken pictures although there is sensor to be positioned and triggered, is caused since speed of moving body is too fast
There is no the image of object to be detected or there are the parts of images of object to be detected in collected detection photo, cause to treat
Test object erroneous detection cannot effectively detect the various parameters of object to be detected.
For the phase above problem, currently no effective solution has been proposed.
Summary of the invention
The main purpose of the application is to provide detection method and device, storage medium and the processor of a kind of information, with
It solves to lead to the problem that detection efficiency is low in the related technology due to the high-speed motion of object to be detected.
To achieve the goals above, according to the one aspect of the application, a kind of detection method of information is provided.This method
It include: the first image triggered in imaging sensor acquisition first area；Image analysis is carried out to collected first image, really
The central point of fixed object to be detected；Second area is determined according to the central point of object to be detected, wherein the region model of second area
Enclose the regional scope less than first area；Trigger the second image in imaging sensor acquisition second area；According to the second image,
Determine the information of object to be detected.
Further, image analysis is carried out to collected first image, determines the central point of object to be detected further include:
Binarization segmentation processing is carried out to the first image；Pass through the central point of treated the first image determines object to be detected.
Further, pass through the central point of treated the first image determines object to be detected further include: determine to be detected
Identification characteristics on object；By carrying out image procossing to identification characteristics, the center of the identification characteristics on object to be detected is obtained
Point；Using the central point of identification characteristics as the central point of object to be detected.
Further, determine that second area comprises determining that the coordinate of central point according to the central point of object to be detected；In
The coordinate of heart point is the center of circle, pre-determined distance is that radius determines second area, wherein the radius of pre-determined distance and object to be detected
Difference is within the scope of default value.
Further, after determining second area according to the central point of object to be detected, this method further include: imaging sensor
Image acquisition region is adjusted according to second area；The second image is acquired in image acquisition region after the adjustment.
Further, according to the second image, determine that the information of object to be detected includes: to carry out to collected second image
Binarization segmentation；The second image after handling binarization segmentation by the method for morphological analysis and edge fitting, obtains to be checked
Survey the information of object.
To achieve the goals above, according to the another aspect of the application, a kind of detection device of information is provided.The device
It include: the first trigger unit, for triggering the first image in imaging sensor acquisition first area；First determination unit is used
In carrying out image analysis to collected first image, the central point of object to be detected is determined；Second determination unit is used for basis
The central point of object to be detected determines second area, wherein the regional scope of second area is less than the regional scope of first area；
Second trigger unit, for triggering the second image in imaging sensor acquisition second area；Third determination unit is used for basis
Second image determines the information of object to be detected.
Further, the first determination unit further include: processing subelement, for being carried out at binarization segmentation to the first image
Reason；Subelement is determined, for the central point by treated the first image determines object to be detected.
Further, it is determined that subelement further include: the first determining module, for determining the spy of the mark on object to be detected
Sign；Module is obtained, for obtaining the center of the identification characteristics on object to be detected by carrying out image procossing to identification characteristics
Point；Second determining module, for the central point of identification characteristics to be determined as to the central point of object to be detected.
Further, the second determination unit includes: third determining module, for determining the coordinate of central point；4th determines
Module, for being that radius determines second area using the coordinate of central point as the center of circle, pre-determined distance, wherein pre-determined distance with it is to be checked
The difference of the radius of object is surveyed within the scope of default value.
By the application, using following steps: the first image in triggering imaging sensor acquisition first area；To acquisition
The first image arrived carries out image analysis, determines the central point of object to be detected；Is determined according to the central point of object to be detected
Two regions, wherein the regional scope of second area is less than the regional scope of first area；It triggers imaging sensor and acquires the secondth area
The second image in domain；According to the second image, the information of object to be detected is determined, solve in the related technology due to be detected right
The high-speed motion of elephant leads to the problem that detection efficiency is low, and then has achieved the effect that improve verification and measurement ratio.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present application, the schematic reality of the application
Example and its explanation are applied for explaining the application, is not constituted an undue limitation on the present application.In the accompanying drawings:
Fig. 1 is according to a kind of flow chart of the detection method of information provided by the embodiments of the present application；And
Fig. 2 is according to a kind of schematic diagram of the detection device of information provided by the embodiments of the present application.
Specific embodiment
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
The embodiment of the application a part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
Member's every other embodiment obtained without making creative work, all should belong to the model of the application protection
It encloses.
It should be noted that the description and claims of this application and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiments herein described herein.In addition, term " includes " and " tool
Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing a series of steps or units
Process, method, system, product or equipment those of are not necessarily limited to be clearly listed step or unit, but may include without clear
Other step or units listing to Chu or intrinsic for these process, methods, product or equipment.
For ease of description, below to the invention relates to part noun or term be illustrated:
According to an embodiment of the present application, a kind of detection method of information is provided.
Fig. 1 is the flow chart according to a kind of detection method of information of the embodiment of the present application.As shown in Figure 1, this method packet
Include following steps:
Step S101, triggering imaging sensor acquire the first image in first area.
Specifically, during vision-based detection, the imaging sensor for positioning and acquiring image is arranged in fixed bit
It sets, the regional scope that fixed position can collect image is first area, wherein first area range is generally more right than to be detected
The maximum area of elephant is big.Firstly, image acquisition device carries out Image Acquisition to target detection object in first area, obtains target and wait for
First image of test object, wherein target object to be detected is in the state of high-speed motion, therefore, in the first image to
The image of test object may be rendered as one of following situations: 1) image to be detected is integrally presented in the first image；2) to be checked
The part for surveying object is presented in the first image；3) object to be detected is not present in the first image, that is to say, that object to be detected
The probability that appears in the first image of entirety it is lower.
It should be noted that there is also the maximum area mistakes relative to object to be detected for the first area of the first image of acquisition
Big situation causes in collected first image, accounting very little of the object to be detected in the first image, in this case,
To the more demanding of image procossing, image procossing difficulty is larger
Step S102 carries out image analysis to collected first image, determines the central point of object to be detected.
Optionally, image analysis is carried out to collected first image, determines the central point of object to be detected further include: right
First image carries out binarization segmentation processing；Pass through the central point of treated the first image determines object to be detected.
Optionally, pass through the central point of treated the first image determines object to be detected further include: it is to be detected right to determine
As upper identification characteristics；By carrying out image procossing to identification characteristics, the central point of the identification characteristics on object to be detected is obtained；
Using the central point of identification characteristics as the central point of object to be detected.
Specifically, collected first image is sent to image processing system, binaryzation is carried out first to the first image
Dividing processing recycles other image processing means to determine mark present on object to be detected, to be checked further according to mark determination
Survey the central point of object.
Specifically, for example, for example, detect to the nut in high-speed motion, nut is collected in first area
The first image after, the first image is handled, first to the first image carry out binarization segmentation processing, further according on nut
The feature of the cross recess of setting carries out graphics process, it is preferred to use image blob analysis is found by the processing to the first image
Cross recess profile on nut determines the central point of cross recess according to cross recess profile, and the central point of cross recess profile is true
It is set to the center of object to be detected,
Above-mentionedly, since the area of cross recess is less than entire nut, even if spiral shell during screw high-speed motion
Cap position is offset, but cross recess will not offset out first area, therefore is mentioned in this, as the feature of object to be detected
It takes.
Step S103 determines second area according to the central point of object to be detected, wherein the regional scope of second area is small
Regional scope in first area.
Optionally, determine that second area comprises determining that the coordinate of central point according to the central point of object to be detected；With center
The coordinate of point is the center of circle, pre-determined distance is that radius determines second area, wherein the difference of the radius of pre-determined distance and object to be detected
Value is within the scope of default value.
Specifically, after the central point for determining object to be detected, so that it may the center for the object to be detected having determined
Point is determined as the central point of second area, determines the coordinate of central point, and using the coordinate of central point as the center of circle, and pre-determined distance is half
Diameter determines second area, wherein pre-set radius is the distance more slightly larger than the radius of object to be detected, for example, the difference of both
It can be set to 2cm, 3cm etc., actual setting can be carried out according to the ability of image procossing, because the range of second area is got over
It is faster to the speed of the second image procossing close to the area of object to be detected.
It should be noted that under normal conditions, the range of second area is less than the range of first area.
Step S104, triggering imaging sensor acquire the second image in second area.
Optionally, after determining second area according to the central point of object to be detected, this method further include: imaging sensor root
Image acquisition region is adjusted according to second area；The second image is acquired in image acquisition region after the adjustment.
Specifically, after the range of second area determines, imaging sensor adjusts image acquisition region according to second area
It is positioned for second area, adjusts to trigger after positioning and take pictures, acquire the second image in second area, wherein the second figure
As the interior general image comprising object to be detected, since the area difference of second area and object to be detected can be set smaller
Range, therefore the image of object to be detected accounting in the second image is relatively very big.
It should be noted that after image acquisition region is adjusted to second area, the second Image Acquisition to image in wrap
The entirety for having contained object to be detected proposes the efficiency of the whole examined object collected in high-speed motion in vision detection technology
Height is to 100%.
Step S105 determines the information of object to be detected according to the second image.
Optionally, according to the second image, determine that the information of object to be detected includes: to carry out two to collected second image
Value segmentation；The second image after handling binarization segmentation by the method for morphological analysis and edge fitting, obtains to be detected
The information of object.
Specifically, after collecting the second image, image procossing is carried out to the second image, first at progress binarization segmentation
Reason, then binarization segmentation treated the second image is carried out using the method for morphological analysis and edge fitting circle to be detected
The outer diameter of object detects, and obtains the dimension information of object to be detected.
For example, the second image to collected nut is handled, binarization segmentation is carried out first, is using morphology
The method of analysis and edge fitting circle carries out the outer diameter detection of nut, obtains the dimension information of nut.
It should be noted that because the difference of second area and object to be detected controls in lesser range, the
Two regions can effectively remove it is to be detected other than interference information, convenient for the second image analysis processing, improve image procossing
Speed.
It should be noted that with the above method in addition to the dimension information of available object to be detected can also obtain to
In test object such as identification information, object to be detected defect other information.
A kind of detection method of information provided by the embodiments of the present application is acquired in first area by triggering imaging sensor
The first image；Image analysis is carried out to collected first image, determines the central point of object to be detected；According to be detected right
The central point of elephant determines second area, wherein the regional scope of second area is less than the regional scope of first area；Trigger image
Sensor acquires the second image in second area；According to the second image, the information of object to be detected is determined, solve related skill
Due to the high-speed motion of object to be detected in art, lead to the problem that detection efficiency is low, and then reaches the effect for improving verification and measurement ratio
Fruit.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer system, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
The embodiment of the present application also provides a kind of detection devices of information, it should be noted that the one of the embodiment of the present application
The detection device of kind information can be used for executing the detection method that a kind of information is used for provided by the embodiment of the present application.It is right below
A kind of detection device of information provided by the embodiments of the present application is introduced.
Fig. 2 is the schematic diagram according to a kind of detection device of information of the embodiment of the present application.As shown in Fig. 2, the device packet
It includes: the first trigger unit 201, for triggering the first image in imaging sensor acquisition first area；First determination unit
202, for carrying out image analysis to collected first image, determine the central point of object to be detected；Second determination unit
203, for determining second area according to the central point of object to be detected, wherein the regional scope of second area is less than the firstth area
The regional scope in domain；Second trigger unit 204, for triggering the second image in imaging sensor acquisition second area；Third
Determination unit 205, for determining the information of object to be detected according to the second image.
A kind of detection device of information provided by the embodiments of the present application triggers image sensing by the first trigger unit 201
Device acquires the first image in first area；First determination unit 202 carries out image analysis to collected first image, really
The central point of fixed object to be detected；Second determination unit 203 determines second area according to the central point of object to be detected, wherein
The regional scope of second area is less than the regional scope of first area；Second trigger unit 204, triggering imaging sensor acquisition the
The second image in two regions；Third determination unit 205 determines the information of object to be detected, solves phase according to the second image
Due to the high-speed motion of object to be detected in the technology of pass, lead to the problem that detection efficiency is low, and then reaches raising verification and measurement ratio
Effect.
Optionally, in a kind of detection device of information provided by the embodiments of the present application, the first determination unit 202 is also wrapped
It includes: processing subelement, for carrying out binarization segmentation processing to the first image；Subelement is determined, for by the way that treated the
One image determines the central point of object to be detected.
Optionally, in a kind of detection device of information provided by the embodiments of the present application, subelement is determined further include: first
Determining module, for determining the identification characteristics on object to be detected；Module is obtained, for by carrying out at image to identification characteristics
Reason, obtains the central point of the identification characteristics on object to be detected；Second determining module, for determining the central point of identification characteristics
For the central point of object to be detected.
Optionally, in a kind of detection device of information provided by the embodiments of the present application, the second determination unit 203 includes:
Third determining module, for determining the coordinate of central point；4th determining module, for using the coordinate of central point as the center of circle, default
Distance is that radius determines second area, wherein the difference of the radius of pre-determined distance and object to be detected is within the scope of default value.
Optionally, in a kind of detection device of information provided by the embodiments of the present application, the device further include: adjustment is single
Member, for after determining second area according to the central point of object to be detected, imaging sensor to adjust image according to second area
Pickup area；Acquisition unit, for acquiring the second image in image acquisition region after the adjustment.
Optionally, in a kind of detection device of information provided by the embodiments of the present application, third determination unit 205 includes:
First processing subelement, for carrying out binarization segmentation to collected second image；Second processing subelement, for passing through shape
The method of state credit analysis and edge fitting handles the second image after binarization segmentation, obtains the information of object to be detected.
A kind of detection device of information includes processor and memory, and above-mentioned first trigger unit 201, first determines
Unit 202, the second determination unit 203, the second trigger unit 204, third determination unit 205 etc. are stored in as program unit
In memory, above procedure unit stored in memory is executed by processor to realize corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be set one
Or more, it solves in the related technology by adjusting kernel parameter due to the high-speed motion of object to be detected, causes the detection to imitate
The low problem of rate.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include that at least one is deposited
Store up chip.
The embodiment of the invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
A kind of existing detection method of information.
The embodiment of the invention provides a kind of processor, the processor is for running program, wherein described program operation
A kind of detection method of information described in Shi Zhihang.
The embodiment of the invention provides a kind of equipment, equipment include processor, memory and storage on a memory and can
The program run on a processor, processor perform the steps of triggering imaging sensor acquisition first area when executing program
The first interior image；Image analysis is carried out to collected first image, determines the central point of object to be detected；According to be detected
The central point of object determines second area, wherein the regional scope of second area is less than the regional scope of first area；Triggering figure
As the second image in sensor acquisition second area；According to the second image, the information of object to be detected is determined.
Optionally, image analysis is carried out to collected first image, determines the central point of object to be detected further include: right
First image carries out binarization segmentation processing；Pass through the central point of treated the first image determines object to be detected.
Optionally, pass through the central point of treated the first image determines object to be detected further include: it is to be detected right to determine
As upper identification characteristics；By carrying out image procossing to identification characteristics, the central point of the identification characteristics on object to be detected is obtained；
Using the central point of identification characteristics as the central point of object to be detected.
Optionally, determine that second area comprises determining that the coordinate of central point according to the central point of object to be detected；With center
The coordinate of point is the center of circle, pre-determined distance is that radius determines second area, wherein the difference of the radius of pre-determined distance and object to be detected
Value is within the scope of default value.
Optionally, after determining second area according to the central point of object to be detected, this method further include: imaging sensor root
Image acquisition region is adjusted according to second area；The second image is acquired in image acquisition region after the adjustment.
Optionally, according to the second image, determine that the information of object to be detected includes: to carry out two to collected second image
Value segmentation；The second image after handling binarization segmentation by the method for morphological analysis and edge fitting, obtains to be detected
The information of object.Equipment herein can be server, PC, PAD, mobile phone etc..
Present invention also provides a kind of computer program products, when executing on data processing equipment, are adapted for carrying out just
The program of beginningization there are as below methods step: the first image in triggering imaging sensor acquisition first area；To collected
One image carries out image analysis, determines the central point of object to be detected；Second area is determined according to the central point of object to be detected,
Wherein, the regional scope of second area is less than the regional scope of first area；It triggers in imaging sensor acquisition second area
Second image；According to the second image, the information of object to be detected is determined.
Optionally, image analysis is carried out to collected first image, determines the central point of object to be detected further include: right
First image carries out binarization segmentation processing；Pass through the central point of treated the first image determines object to be detected.
Optionally, pass through the central point of treated the first image determines object to be detected further include: it is to be detected right to determine
As upper identification characteristics；By carrying out image procossing to identification characteristics, the central point of the identification characteristics on object to be detected is obtained；
Using the central point of identification characteristics as the central point of object to be detected.
Optionally, determine that second area comprises determining that the coordinate of central point according to the central point of object to be detected；With center
The coordinate of point is the center of circle, pre-determined distance is that radius determines second area, wherein the difference of the radius of pre-determined distance and object to be detected
Value is within the scope of default value.
Optionally, after determining second area according to the central point of object to be detected, this method further include: imaging sensor root
Image acquisition region is adjusted according to second area；The second image is acquired in image acquisition region after the adjustment.
Optionally, according to the second image, determine that the information of object to be detected includes: to carry out two to collected second image
Value segmentation；The second image after handling binarization segmentation by the method for morphological analysis and edge fitting, obtains to be detected
The information of object.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable Jie
The example of matter.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
There is also other identical elements in process, method, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The above is only embodiments herein, are not intended to limit this application.To those skilled in the art,
Various changes and changes are possible in this application.It is all within the spirit and principles of the present application made by any modification, equivalent replacement,
Improve etc., it should be included within the scope of the claims of this application.
Claims (10)
1. a kind of detection method of information characterized by comprising
Trigger the first image in imaging sensor acquisition first area；
Image analysis is carried out to collected the first image, determines the central point of object to be detected；
Second area is determined according to the central point of the object to be detected, wherein the regional scope of the second area is less than institute
State the regional scope of first area；
Triggering described image sensor acquires the second image in the second area；
According to second image, the information of the object to be detected is determined.
2. the method according to claim 1, wherein to collected the first image carry out image analysis,
Determine the central point of object to be detected further include:
Binarization segmentation processing is carried out to the first image；
Pass through the central point of treated the first image the determines object to be detected.
3. according to the method described in claim 2, it is characterized in that, that the first image determines is described to be checked by the way that treated
Survey the central point of object further include:
Determine the identification characteristics on the object to be detected；
By carrying out image procossing to the identification characteristics, the central point of the identification characteristics on the object to be detected is obtained；
Using the central point of the identification characteristics as the central point of the object to be detected.
4. the method according to claim 1, wherein determining the secondth area according to the central point of the object to be detected
Domain includes:
Determine the coordinate of the central point；
It is that radius determines the second area using the coordinate of the central point as the center of circle, pre-determined distance, wherein the pre-determined distance
Difference with the radius of the object to be detected is within the scope of default value.
5. the method according to claim 1, wherein determining the secondth area according to the central point of the object to be detected
Behind domain, the method also includes:
Described image sensor adjusts image acquisition region according to the second area；
Acquisition second image in described image pickup area after the adjustment.
6. the method according to claim 1, wherein determining the object to be detected according to second image
Information include:
Binarization segmentation is carried out to collected second image；
The second image after handling binarization segmentation by the method for morphological analysis and edge fitting, it is described to be detected right to obtain
The information of elephant.
7. a kind of detection device of information characterized by comprising
First trigger unit, for triggering the first image in imaging sensor acquisition first area；
First determination unit determines the center of object to be detected for carrying out image analysis to collected the first image
Point；
Second determination unit, for determining second area according to the central point of the object to be detected, wherein the second area
Regional scope be less than the first area regional scope；
Second trigger unit acquires the second image in the second area for triggering described image sensor；
Third determination unit, for determining the information of the object to be detected according to second image.
8. device according to claim 7, which is characterized in that first determination unit further include:
Subelement is handled, for carrying out binarization segmentation processing to the first image；
Subelement is determined, for the central point by treated the first image the determines object to be detected.
9. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein described program right of execution
Benefit require any one of 1 to 6 described in a kind of detection method of information.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 6 described in a kind of detection method of information.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110675373A (en) * | 2019-09-12 | 2020-01-10 | 珠海格力智能装备有限公司 | Component installation detection method, device and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102095733B (en) * | 2011-03-02 | 2012-08-08 | 上海大学 | Machine vision-based intelligent detection method for surface defect of bottle cap |
| CN105446360A (en) * | 2015-11-16 | 2016-03-30 | 深圳市神视检验有限公司 | Automatic tracking method and automatic tracking apparatus based on welding seam |
| CN107393256A (en) * | 2017-07-31 | 2017-11-24 | 深圳前海弘稼科技有限公司 | Method for preventing missing, server and terminal equipment |
| CN108429885A (en) * | 2017-02-13 | 2018-08-21 | 杭州海康威视数字技术股份有限公司 | A kind of inter-linked controlling method, the apparatus and system of laser and video camera |
| WO2018159535A1 (en) * | 2017-02-28 | 2018-09-07 | 株式会社島津製作所 | Image processing method |
-
2018
- 2018-11-13 CN CN201811347463.XA patent/CN109509225A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102095733B (en) * | 2011-03-02 | 2012-08-08 | 上海大学 | Machine vision-based intelligent detection method for surface defect of bottle cap |
| CN105446360A (en) * | 2015-11-16 | 2016-03-30 | 深圳市神视检验有限公司 | Automatic tracking method and automatic tracking apparatus based on welding seam |
| CN108429885A (en) * | 2017-02-13 | 2018-08-21 | 杭州海康威视数字技术股份有限公司 | A kind of inter-linked controlling method, the apparatus and system of laser and video camera |
| WO2018159535A1 (en) * | 2017-02-28 | 2018-09-07 | 株式会社島津製作所 | Image processing method |
| CN107393256A (en) * | 2017-07-31 | 2017-11-24 | 深圳前海弘稼科技有限公司 | Method for preventing missing, server and terminal equipment |
Non-Patent Citations (2)
| Title |
|---|
| RAMIN MOSHAVEGH等: "Advanced automated gain adjustments for in-vivo ultrasound imaging", 《2015 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)》 * |
| 孟春宁: "人眼检测与跟踪的方法及应用研究", 《中国优秀博士学位论文全文数据库 信息科技辑（月刊）》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110675373A (en) * | 2019-09-12 | 2020-01-10 | 珠海格力智能装备有限公司 | Component installation detection method, device and system |
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