CN217606372U - Image detection device - Google Patents
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- CN217606372U CN217606372U CN202123275686.XU CN202123275686U CN217606372U CN 217606372 U CN217606372 U CN 217606372U CN 202123275686 U CN202123275686 U CN 202123275686U CN 217606372 U CN217606372 U CN 217606372U
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Abstract
The utility model provides an image detection device belongs to camera test technical field, has solved prior art and has had detection efficiency low, the detection rate of accuracy is low, the relatively poor problem of uniformity when examining the camera definition. An image detection device comprises a camera, a relay lens, a control device and an image analysis device; the relay lens is arranged in front of the lens of the camera; the control device is electrically connected with the relay lens and is used for controlling the position switching of the relay lens, so that the relay lens is positioned in front of the lens of the camera or is moved away from the front of the lens of the camera; the image analysis device is connected with the camera through a network interface and used for performing definition detection on pictures acquired by the camera.
Description
Technical Field
The utility model belongs to the technical field of the camera test technique and specifically relates to an image detection device is related to.
Background
With the increasing application demand of camera products in the current market, the efficiency requirement on the production debugging link of the camera products is higher and higher, wherein definition detection is the core detection content in the production debugging link of the camera.
At present, definition detection is basically completed manually, namely, the condition of the definition test card presented by a camera is checked by human eyes, black and white can be clear or unclear, and black and white are not clear or fuzzy, but the definition of black and white has a plurality of grades, so that the problems of over subjective evaluation, poor consistency and low efficiency exist in manual definition detection.
Therefore, the prior art has the problems of low detection efficiency, low detection accuracy and poor consistency when the definition of the camera is detected.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide an image detection device to alleviate prior art and have detection efficiency low, detect the technical problem that the rate of accuracy is low, the uniformity is relatively poor when carrying out definition detection to the camera.
In a first aspect, the present invention provides an image detection apparatus, which includes a camera, a relay lens, a control device and an image analysis device;
the relay lens is arranged in front of the lens of the camera;
the control device is electrically connected with the relay lens and is used for controlling the position switching of the relay lens, so that the relay lens is positioned in front of the lens of the camera or is moved away from the front of the lens of the camera;
the image analysis device is connected with the camera through a network interface and used for performing definition detection on pictures acquired by the camera.
Further, the image analysis device is a computer integrated with a CPU processor.
Further, the control device comprises a main control board, a relay and an electromagnetic valve;
the signal input end of the main control board is connected with the computer through a serial port, and the signal output end of the main control board is connected with the input end of the relay;
the output end of the relay is connected with the electromagnetic valve;
the relay lens mold is fixed with the electromagnetic valve.
Further, the device also comprises an image test card and a light homogenizing plate;
the image test card is attached to the surface of the light equalizing plate, the camera shoots the image test card, and the shot image is used for performing definition detection.
In a second aspect, the present invention further provides an image detection method applied to the image detection apparatus provided in the first aspect, the method includes:
receiving a detection image;
preprocessing the detection image to obtain a pattern image;
calculating the histogram peak distance of the pattern image to obtain a histogram peak distance value;
calculating the standard deviation of the pattern image to obtain an image standard deviation value;
carrying out linear weighting calculation by utilizing the histogram peak distance value and the image standard deviation value to obtain an image definition value;
and comparing the image definition score with a preset threshold value to obtain a definition detection result.
Further, the step of calculating the histogram peak distance of the pattern image to obtain a histogram peak distance value includes:
and calculating the difference value of the first peak value and the second peak value in the histogram of the pattern image to obtain the distance value of the peak value of the histogram.
Further, the step of performing linear weighting calculation by using the histogram peak distance value and the image standard deviation value to obtain the image definition score includes:
carrying out linear weighting calculation by utilizing the histogram peak distance value and the image standard difference value to obtain a weighted value;
and carrying out normalization processing on the weighted value to obtain an image definition score.
Further, the step of preprocessing the detection image to obtain the pattern region includes:
carrying out detection area positioning on the detection image to obtain a positioned detection image;
and intercepting the pattern of the positioned detection image to obtain a pattern image.
Further, the step of locating the detection area of the detection image to obtain the located detection image includes:
carrying out coarse positioning on a detection area on the detection image to obtain a coarse positioning image;
and carrying out fine positioning on the detection area on the coarse positioning image to obtain a positioned detection image.
In a third aspect, the present invention further provides a computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the method provided by the second aspect.
The utility model provides an image detection device, which comprises a camera, a relay lens, a control device and an image analysis device; the relay lens is arranged in front of the lens of the camera and used for simulating the actual shooting object distance of the camera, and the object distance of more than a few meters can be simulated in a very close object distance range. The definition of the camera can be conveniently tested, and the testing space is saved. The control device is electrically connected with the relay lens and is used for controlling the position switching of the relay lens, so that the relay lens is positioned in front of the lens of the camera or is moved away from the front of the lens of the camera; the camera can switch the optical filter in the day and night mode, when the optical filter function is detected, the relay lens needs to be moved away from the front of the lens, the position switching of the relay lens is controlled through the control device, when image acquisition is carried out, the relay lens is located in front of the lens, when the optical filter function is detected, the relay lens is moved away from the front of the lens, and therefore the camera can carry out image acquisition and can meet the operation requirement of the day and night mode. The image analysis device is connected with the camera through a network interface and used for detecting the definition of the pictures collected by the camera. The image analysis device obtains a detection image in the camera through the network port, and carries out definition detection on the detection image by utilizing a definition algorithm, so that a definition detection result is obtained.
Adopt the utility model provides an image detection device, utilize relay lens simulation object distance, and position switch through controlling means control relay lens, the image acquisition operation under the compatible day night mode of camera, image analysis device acquires the detection image that the camera was gathered through the net gape, utilize the algorithm to detect the definition to the detection image, thereby realized detecting the automatic definition of camera, the definition detection efficiency has been promoted, and evaluation when effectively having avoided artifical definition to detect is too subjective, the poor problem of uniformity, the definition testing standard has been unified, the definition testing effect has been optimized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the technical solutions in the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic view of an image detection apparatus provided in embodiment 1 of the present invention;
fig. 2 is a schematic view of an image test card according to embodiment 1 of the present invention;
fig. 3 is a flowchart of an image detection method provided in embodiment 2 of the present invention;
fig. 4 is a detailed flowchart of step S5 in embodiment 2 of the present invention;
fig. 5 is a detailed flowchart of step S2 in embodiment 2 of the present invention;
fig. 6 is a detailed flowchart of step S22 in embodiment 2 of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts all belong to the protection scope of the present invention.
The terms "comprising" and "having," and any variations thereof, as referred to in the embodiments of the present invention, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
At present, definition detection is basically completed manually, namely, the condition of the definition test card presented by a camera is checked by human eyes, black and white can be clear or unclear, and black and white are not clear or fuzzy, but the definition of black and white has a plurality of grades, so that the problems of over subjective evaluation, poor consistency and low efficiency exist in manual definition detection.
Therefore, the prior art has the problems of low detection efficiency, low detection accuracy and poor consistency when the definition of the camera is detected.
In order to solve the above problem, an embodiment of the present invention provides an image detection apparatus.
Example 1:
as shown in fig. 1, an embodiment of the present invention provides an image detection apparatus, which includes a camera 1, a relay lens 2, a control device 3, and an image analysis device 4; the relay lens 2 is arranged in front of the lens of the camera 1, for example, the relay lens 2 is positioned at the position 2CM in front of the lens, the relay lens 2 is used for simulating the actual shooting object distance of the camera 1, and the object distance of more than a few meters can be simulated in a close object distance range. The definition of the camera 1 can be conveniently tested, and the testing space is saved. The control device 3 is electrically connected with the relay lens 2, and the control device 3 is used for controlling the position switching of the relay lens 2 so that the relay lens 2 is positioned in front of the lens of the camera 1 or is moved away from the front of the lens of the camera 1; the camera 1 can switch the optical filter in the day and night mode, when the optical filter function is detected, the relay lens 2 needs to be moved away from the front of the lens, the position switching of the relay lens 2 is controlled through the control device 3, when image acquisition is carried out, the relay lens 2 is located in front of the lens, when the optical filter function is detected, the relay lens 2 is moved away from the front of the lens, and therefore the camera 1 can carry out image acquisition and can meet the operation requirement of the day and night mode. The image analysis device 4 is connected with the camera 1 through a network interface, and the image analysis device 4 is used for detecting the definition of the pictures collected by the camera 1. The image analysis device 4 acquires the detection image in the camera 1 through the network port, and performs definition detection on the detection image by using a definition algorithm, thereby obtaining a definition detection result.
Adopt the embodiment of the utility model provides an image detection device, utilize 2 simulation object distances of relay lens, and position switch through 3 control relay lenses 2 of controlling means, the image acquisition operation under the compatible day night mode of camera 1, image analysis device 4 acquires the detection image that camera 1 gathered through the net gape, utilize the algorithm to detect the definition to the detection image, thereby realized detecting the automatic definition of camera 1, the definition detection efficiency has been promoted, and the evaluation when effectively having avoided artifical definition to detect is too subjective, the poor problem of uniformity, the definition testing standard has been unified, the definition testing effect has been optimized.
In a possible implementation manner, the image analysis apparatus 4 is a computer integrated with a CPU processor 5, the CPU processor 5 is configured to execute the image detection method in embodiment 2, the CPU processor 5 adopts an intel I7-7 generation processor, and integrates a 3.6Ghz dual core, which has the advantages of fast processing speed, providing efficient and rich computing resources, and fast processing speed on images, thereby maximally improving the efficiency of sharpness detection.
In a possible embodiment, the control device 3 comprises a main control board (not shown in the figures), a relay (not shown in the figures) and a solenoid valve (not shown in the figures); the signal input end of the main control board is connected with the computer through a serial port, and the signal output end of the main control board is connected with the input end of the relay; the output end of the relay is connected with the electromagnetic valve; the relay lens 2 module is fixed with the electromagnetic valve. The signal input end of the main control board receives a control instruction of the computer through the serial port, the main control board receives and analyzes the control instruction, and the relay is controlled according to the control instruction, so that the relay drives the electromagnetic valve to be opened or closed, and the position switching of the relay lens 2 is completed.
In a possible embodiment, the image detection apparatus further comprises an image test card 6 and a light equalizing plate 7 as shown in fig. 2; the image test card 6 is attached to the surface of the light homogenizing plate 7, the camera 1 shoots the image test card 6, and the shot image is used for performing definition detection. The image test card 6 is made by printing after the layout of the line pair pattern is carried out according to the line diameter density of the national standard definition card, and the image test card 6 is attached to the surface of the light equalizing plate 7, so that the light of the shooting environment is sufficient and uniform, and the camera 1 can collect the images with normal brightness and normal definition, thereby being beneficial to the definition analysis of the images.
Example 2:
as shown in fig. 3, an embodiment of the present invention provides an image detection method applied to the image detection apparatus provided in embodiment 1, the method including:
s1: a detection image is received.
S2: and preprocessing the detection image to obtain a pattern image.
S3: and calculating the histogram peak distance of the pattern image to obtain a histogram peak distance value.
S4: and calculating the standard deviation of the pattern image to obtain an image standard deviation value.
S5: and performing linear weighting calculation by using the histogram peak distance value and the image standard deviation value to obtain an image definition value.
S6: and comparing the image definition score with a preset threshold value to obtain a definition detection result.
And calculating the histogram peak distance of the pattern image to obtain a histogram peak distance value which is used for representing the integral dynamic range of the image. And calculating the standard deviation of the pattern image to obtain an image standard deviation value, wherein the standard deviation is used for calculating the distance between each pixel and the whole tending to the mean value and representing the divergence degree of the pixel distribution of the image. And performing linear weighting calculation by using the histogram peak distance value and the image standard deviation value to obtain the image definition value of the region. And comparing the definition score of each region with a preset threshold, wherein the score is greater than the threshold and indicates that the line number reaches the standard, analyzing all line number regions, and obtaining the region with the highest line number greater than the threshold, namely the definition line number of the equipment, thereby completing the automatic definition detection of the camera.
In a possible embodiment, the step of S3 comprises:
s31: and calculating the difference value of the first peak value and the second peak value in the histogram of the pattern image to obtain the distance value of the peak value of the histogram.
The difference value between the first peak value and the second peak value is the distance between the brightest pixel group and the pixel group with the lowest brightness of the image, and is used for representing the divergence degree of the pixel distribution of the image.
As shown in fig. 4, in one possible implementation, the step of S5 includes:
s51: and performing linear weighting calculation by using the histogram peak distance value and the image standard difference value to obtain a weighted value.
S52: and carrying out normalization processing on the weighted value to obtain an image definition score.
The normalization process may generalize the statistical distribution of the uniform samples.
As shown in fig. 5, in one possible implementation, the step of S2 includes:
s21: and positioning the detection area of the detection image to obtain the positioned detection image.
S22: and intercepting the pattern of the positioned detection image to obtain a pattern image.
And accurate key point positions are arranged in the positioned detection image, areas where the definition lines are located are accurately positioned through the key point positions, the pattern areas of all lines are intercepted, and definition analysis is carried out.
As shown in fig. 6, in one possible implementation, the step of S22 includes:
s221: and carrying out coarse positioning on the detection image in the detection area to obtain a coarse positioning image.
S222: and carrying out fine positioning on the detection area on the coarse positioning image to obtain a positioned detection image.
The detected area is positioned accurately, the key point is positioned by using a deep learning method when the pixel-level precision is reached, the coarse positioning of the detected area is firstly carried out, and then the fine positioning of the detected area is carried out, so that the pixel-level precision is reached.
For example, the HRnet network (a deep learning algorithm) is used for coarse positioning to position a plurality of key points, an HRnet model is trained, 5000 multiple definition image samples with different resolutions and different focal lengths are collected together, data enhancement is performed by 6 data enhancement methods of angle rotation, brightness, contrast, chromaticity, mirror image and gaussian filter, and model training is performed under a pytorch framework.
Due to the limitation of the characteristics and the receptive field of the HRnet, the detection result of a large-resolution image cannot meet the pixel level requirement, and the problem that the position of an angular point cannot be accurately positioned exists, in order to solve the problems, fine positioning needs to be carried out, a YOLO network (a deep learning algorithm) is used for training a fine positioning model, secondary positioning is carried out on the key points which are not accurately positioned, 6000 images containing the key points are cut randomly as positive samples, other positions are used as negative samples, data enhancement is carried out similarly, model training is carried out, and the requirement of positioning accuracy on the detection of the key points by the trained model can be met.
Example 3:
the embodiment of the utility model provides a computer readable storage medium, the last storage of computer readable storage medium has the computer program, and the step of the method that embodiment 2 provided is realized to the computer program when being executed by the treater.
The utility model provides an image detection method and computer readable storage medium has the same technical characteristics with the image detection device that above-mentioned embodiment provided, consequently also can solve the same technical problem, reaches the same technological effect.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate the position or positional relationship based on the position or positional relationship shown in the drawings, or the position or positional relationship which is usually placed when the product of the present invention is used, and are only for convenience of description and simplification of the description, but do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The device provided by the embodiment of the invention can be specific hardware on equipment or software or firmware installed on the equipment and the like. The embodiment of the present invention provides an apparatus, which has the same implementation principle and the same technical effects as the embodiment of the method, and for the sake of brief description, the embodiment of the apparatus is partially not mentioned, and reference can be made to the corresponding content in the embodiment of the method. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
For another example, the division of the unit is only one division of logical functions, and there may be other divisions in actual implementation, and for another example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, each functional unit in the embodiments provided in the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present invention, which are essential or contributing to the prior art, or portions thereof, can be embodied in the form of a software product stored in a storage medium, and including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, and are not intended to limit the technical solution of the present invention, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: those skilled in the art can still modify or easily conceive of changes in the technical solutions described in the foregoing embodiments or make equivalent substitutions for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention. Are all covered by the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (4)
1. An image detection apparatus is characterized by comprising a camera, a relay lens, a control device and an image analysis device;
the relay lens is arranged in front of the lens of the camera;
the control device is electrically connected with the relay lens and is used for controlling the position switching of the relay lens, so that the relay lens is positioned in front of the lens of the camera or is moved away from the front of the lens of the camera;
the image analysis device is connected with the camera through a network interface and used for performing definition detection on pictures acquired by the camera.
2. The image inspection device of claim 1, wherein the image analysis device is a computer integrated with a CPU processor.
3. The image detecting apparatus according to claim 2, wherein the control means includes a main control board, a relay, and a solenoid valve;
the signal input end of the main control board is connected with the computer through a serial port, and the signal output end of the main control board is connected with the input end of the relay;
the output end of the relay is connected with the electromagnetic valve;
the relay lens mold is fixed with the electromagnetic valve.
4. The image inspection device of claim 1, further comprising an image test card and a light homogenizing plate;
the image test card is attached to the surface of the light equalizing plate, the camera shoots the image test card, and the shot image is used for performing definition detection.
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| CN114119944A (en) * | 2021-12-23 | 2022-03-01 | 天津天地伟业信息***集成有限公司 | Image detection device, method and computer readable storage medium |
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| CN114119944A (en) * | 2021-12-23 | 2022-03-01 | 天津天地伟业信息***集成有限公司 | Image detection device, method and computer readable storage medium |
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