CN112611715A - Rotary type subentry detection system and method - Google Patents

Rotary type subentry detection system and method Download PDF

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CN112611715A
CN112611715A CN202011254930.1A CN202011254930A CN112611715A CN 112611715 A CN112611715 A CN 112611715A CN 202011254930 A CN202011254930 A CN 202011254930A CN 112611715 A CN112611715 A CN 112611715A
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杨丽
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Wuxi Zhenyong Technology Co ltd
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    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • G01N21/01Arrangements or apparatus for facilitating the optical investigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • G01N21/84Systems specially adapted for particular applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/01Arrangements or apparatus for facilitating the optical investigation
    • G01N2021/0106General arrangement of respective parts
    • G01N2021/0112Apparatus in one mechanical, optical or electronic block
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N2021/8466Investigation of vegetal material, e.g. leaves, plants, fruits

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Abstract

The invention relates to a rotary itemized detection system, comprising: the customized rotating mechanism comprises a bottom rotating platform and a right side blocking structure, the bottom rotating platform comprises a rotating circular ring structure and a driving motor, the distance between the left end of the top circular arc of the rotating circular ring structure and the bottom of the right side blocking structure is smaller than a preset distance threshold, and the rotating circular ring structure rotates clockwise from left to right so as to convey corns conveyed from the right end of the top circular arc of the rotating circular ring structure to the left side of the right side blocking structure and perform rotating operation. The invention also relates to a rotary type subentry detection method. The rotary type subentry detection system and the rotary type subentry detection method are compact in structure and stable in operation. Because the quality grade of the corresponding corn can be determined based on the ratio of the number of the particle objects on the corn to the number of the cavity objects on the basis of the customized mechanical detection mechanism, the reliability and the real-time performance of the corn quality detection are improved.

Description

Rotary type subentry detection system and method
Technical Field
The invention relates to the field of mechanical control, in particular to a rotary type subentry detection system and a rotary type subentry detection method.
Background
And (3) quality detection: refers to the act of checking and verifying that the quality of a product or service complies with the relevant regulations. The method comprises air quality detection, engineering quality detection, product quality detection, environment quality detection and the like. Quality testing, which may also be referred to as testing or experimentation, refers to the technical operation of determining one or more characteristics or properties of a given product, material, equipment, organism, physical phenomenon, process or service according to a prescribed program. In order to ensure that the detection result is accurate to a certain extent, the detection must be performed according to a predetermined procedure within a predetermined detection range. The detection result should be recorded on the record, and usually adopts a detection report or a detection certificate.
In a broad sense, quality inspection and detection means that a quality inspection and detection organization accepts the entrusts of product manufacturers or product users, comprehensively applies scientific methods and professional technologies to carry out quality inspection and detection on the aspects of quality, safety, performance, environmental protection and the like of a certain product, and issues a quality inspection and detection report so as to evaluate whether the product meets the standards of quality, safety, performance, regulations and the like required by governments, industries and users.
At present, the quality detection of crop products including corn and the like adopts a spot check mode, the corn subjected to spot check is subjected to manual visual inspection, the products detected by the detection mode are incomplete on one hand, the quality of each product cannot be truly reflected, and on the other hand, the mode precision of the manual visual inspection is insufficient and the efficiency is low, so that the requirement of mass detection of the quality of the current products cannot be met.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a rotary type item detection system and a rotary type item detection method, which can determine the quality grade of corresponding corn based on the ratio of the number of particle objects on the corn to the number of cavity objects on the basis of a customized mechanical detection mechanism, thereby improving the reliability and the real-time performance of corn quality detection.
Therefore, the invention at least needs to have the following two key points:
(1) determining a quality grade of the corresponding corn based on a ratio of the number of particle objects on the corn to the number of cavity objects, wherein the higher the ratio is, the higher the quality grade of the corresponding corn is;
(2) and (3) carrying out field detection on the ratio of the number of the particle objects on the corn to the number of the cavity objects by adopting a targeted detection mechanism.
According to an aspect of the present invention, there is provided a rotary itemized detection system, the system comprising:
the customized rotating mechanism comprises a bottom rotating platform and a right side blocking structure, the right side blocking structure is located on the right side of the bottom rotating platform, the bottom rotating platform comprises a rotary type circular ring structure and a driving motor for driving the rotary type circular ring structure to rotate, the distance between the left end of a top circular arc of the rotary type circular ring structure and the bottom of the right side blocking structure is smaller than a preset distance threshold, the rotary type circular ring structure rotates clockwise from left to right, and therefore corns transmitted from the right end of the top circular arc of the rotary type circular ring structure are transmitted to the left side of the right side blocking structure and cannot be stopped before and rotating operation is executed;
the panoramic snapshot mechanism is arranged right above the left end of the top arc of the rotary circular ring structure and is used for performing snapshot operation on a plurality of continuous images of the corns which are conveyed to the right side blocking structure and are not in front of the left side blocking structure and perform rotation operation;
the content splicing mechanism is connected with the panoramic snapshot mechanism and used for sending a snapshot stopping instruction to the panoramic snapshot mechanism and sending a spliced panoramic image to be output as a whole corn image when a plurality of continuous images transmitted by the panoramic snapshot mechanism can be spliced into a panoramic image of the whole corn;
the instant enhancement equipment is connected with the content splicing mechanism and is used for executing contrast enhancement processing on the received content splicing mechanism so as to obtain a contrast enhancement image;
the item detection mechanism is connected with the instant enhancement equipment and used for extracting each corn particle object in the contrast enhancement image based on the corn particle imaging characteristic and extracting each cavity object in the contrast enhancement image based on the cavity imaging characteristic, and each cavity is a gap reserved after a single corn particle among the corn particles on the corn is lost;
the quantity analysis device is connected with the item detection mechanism and is used for dividing the quantity of each corn particle object by the quantity of each cavity object to obtain a corresponding quality proportion and determining the quality grade of the corn based on the quality proportion;
wherein determining a quality grade of the corn based on the quality ratio comprises: the larger the numerical value of the mass ratio, the higher the quality grade of the corresponding corn.
According to another aspect of the present invention, there is also provided a rotary itemized detection method, the method comprising:
the method comprises the steps that a customized rotating mechanism is used and comprises a bottom rotating platform and a right side blocking structure, the right side blocking structure is located on the right side of the bottom rotating platform, the bottom rotating platform comprises a rotary circular ring structure and a driving motor for driving the rotary circular ring structure to rotate, the distance between the left end of a top circular arc of the rotary circular ring structure and the bottom of the right side blocking structure is smaller than a preset distance threshold, the rotary circular ring structure rotates clockwise from left to right, and therefore corn conveyed from the right end of the top circular arc of the rotary circular ring structure cannot be stopped before being conveyed to the left side of the right side blocking structure and rotation operation is carried out;
the panoramic snapshot mechanism is arranged right above the left end of the top arc of the rotary circular ring structure and is used for performing snapshot operation on a plurality of continuous images of the corns which are conveyed to the right side blocking structure and are not in front of the left side blocking structure and perform rotation operation;
the content splicing mechanism is connected with the panoramic snapshot mechanism and used for sending a snapshot stopping instruction to the panoramic snapshot mechanism and sending a spliced panoramic image to be output as a corn whole-body image when a plurality of continuous images transmitted by the panoramic snapshot mechanism can be spliced into a panoramic image of the whole body of the corn;
using instant enhancement equipment, connected with the content splicing mechanism, for executing contrast enhancement processing on the received content splicing mechanism to obtain a contrast enhancement image;
using a subentry detection mechanism, connected with the instant enhancement equipment, for extracting each corn grain object in the contrast enhancement image based on the corn grain imaging feature, and further for extracting each cavity object in the contrast enhancement image based on the cavity imaging feature, wherein each cavity is a gap left after a single corn grain among the corn grains on the corn is missing;
using a quantity analysis device connected with the item detection mechanism and used for dividing the quantity of each corn particle object by the quantity of each cavity object to obtain a corresponding quality proportion and determining the quality grade of the corn based on the quality proportion;
wherein determining a quality grade of the corn based on the quality ratio comprises: the larger the numerical value of the mass ratio, the higher the quality grade of the corresponding corn.
The rotary type subentry detection system and the rotary type subentry detection method are compact in structure and stable in operation. Because the quality grade of the corresponding corn can be determined based on the ratio of the number of the particle objects on the corn to the number of the cavity objects on the basis of the customized mechanical detection mechanism, the reliability and the real-time performance of the corn quality detection are improved.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic external view of a panoramic capture mechanism used in a rotary itemized detection system and method according to an embodiment of the present invention.
Detailed Description
Embodiments of the rotary itemized detection system and method of the present invention will be described in detail below with reference to the accompanying drawings.
Corn (Zea mays L.) is an annual herbaceous plant of the grass family. Also named as corn, corn cob, corn, pearl rice, etc. Native to central and south america, it is an important food crop in the world, widely distributed in the united states, china, brazil and other countries. Compared with traditional grain crops such as rice, wheat and the like, the corn has strong drought tolerance, cold tolerance, barren tolerance and excellent environmental adaptability. The corn has higher nutritive value and is an excellent grain crop. As a high-yield grain crop in china, corn is an important feed source in animal husbandry, aquaculture, and the like, and is one of indispensable raw materials for food, medical care, light industry, chemical industry, and the like. Because the corn resources are extremely rich, cheap and easy to obtain, the corn also has a plurality of biological activities, such as oxidation resistance, tumor resistance, blood sugar reduction, immunity improvement, bacteriostasis, sterilization and the like, and has wide development and application prospects.
At present, the quality detection of crop products including corn and the like adopts a spot check mode, the corn subjected to spot check is subjected to manual visual inspection, the products detected by the detection mode are incomplete on one hand, the quality of each product cannot be truly reflected, and on the other hand, the mode precision of the manual visual inspection is insufficient and the efficiency is low, so that the requirement of mass detection of the quality of the current products cannot be met.
In order to overcome the defects, the invention builds a rotary type subentry detection system and a rotary type subentry detection method, and can effectively solve the corresponding technical problem.
A rotary itemized detection system shown according to an embodiment of the present invention includes:
the customized rotating mechanism comprises a bottom rotating platform and a right side blocking structure, the right side blocking structure is located on the right side of the bottom rotating platform, the bottom rotating platform comprises a rotary type circular ring structure and a driving motor for driving the rotary type circular ring structure to rotate, the distance between the left end of a top circular arc of the rotary type circular ring structure and the bottom of the right side blocking structure is smaller than a preset distance threshold, the rotary type circular ring structure rotates clockwise from left to right, and therefore corns transmitted from the right end of the top circular arc of the rotary type circular ring structure are transmitted to the left side of the right side blocking structure and cannot be stopped before and rotating operation is executed;
the panoramic snapshot mechanism is arranged right above the left end of the top arc of the rotary circular ring structure as shown in fig. 1 and is used for performing snapshot operation of a plurality of continuous images on the corns which are conveyed to the right side blocking structure and are not in front of the left side of the right side blocking structure and perform rotation operation;
the content splicing mechanism is connected with the panoramic snapshot mechanism and used for sending a snapshot stopping instruction to the panoramic snapshot mechanism and sending a spliced panoramic image to be output as a whole corn image when a plurality of continuous images transmitted by the panoramic snapshot mechanism can be spliced into a panoramic image of the whole corn;
the instant enhancement equipment is connected with the content splicing mechanism and is used for executing contrast enhancement processing on the received content splicing mechanism so as to obtain a contrast enhancement image;
the item detection mechanism is connected with the instant enhancement equipment and used for extracting each corn particle object in the contrast enhancement image based on the corn particle imaging characteristic and extracting each cavity object in the contrast enhancement image based on the cavity imaging characteristic, and each cavity is a gap reserved after a single corn particle among the corn particles on the corn is lost;
the quantity analysis device is connected with the item detection mechanism and is used for dividing the quantity of each corn particle object by the quantity of each cavity object to obtain a corresponding quality proportion and determining the quality grade of the corn based on the quality proportion;
wherein determining a quality grade of the corn based on the quality ratio comprises: the larger the numerical value of the mass ratio, the higher the quality grade of the corresponding corn.
Next, the detailed structure of the rotary itemizing detection system of the present invention will be further described.
In the rotary itemized detection system:
the itemized detection mechanism comprises a first detection unit and a second detection unit, wherein the first detection unit is used for extracting each corn grain object in the contrast lifting image based on the corn grain imaging characteristics.
In the rotary itemized detection system:
the second detection unit is used for extracting each cavity object in the contrast ratio lifting image based on cavity imaging characteristics;
and the content splicing mechanism is also used for sending a continuous snapshot instruction to the panoramic snapshot mechanism when the plurality of continuous images transmitted by the panoramic snapshot mechanism are not spliced into the panoramic image of the whole body of the corn.
In the rotary itemized detection system:
in the first detection unit, the corn grain imaging characteristic is the geometric shape of a single corn grain or the color imaging characteristic of the single corn grain.
In the rotary itemized detection system:
in the second detection unit, the cavity imaging characteristic is a color imaging characteristic of the cavity, and the color imaging characteristic of the cavity is a gray value distribution range of pixel points in the cavity object imaging image.
The rotary itemized detection method shown according to the embodiment of the invention comprises the following steps:
the method comprises the steps that a customized rotating mechanism is used and comprises a bottom rotating platform and a right side blocking structure, the right side blocking structure is located on the right side of the bottom rotating platform, the bottom rotating platform comprises a rotary circular ring structure and a driving motor for driving the rotary circular ring structure to rotate, the distance between the left end of a top circular arc of the rotary circular ring structure and the bottom of the right side blocking structure is smaller than a preset distance threshold, the rotary circular ring structure rotates clockwise from left to right, and therefore corn conveyed from the right end of the top circular arc of the rotary circular ring structure cannot be stopped before being conveyed to the left side of the right side blocking structure and rotation operation is carried out;
using a panoramic snapshot mechanism, as shown in fig. 1, arranged right above the left end of the top arc of the rotary circular ring structure, for performing snapshot operations of multiple continuous images on the corn which is conveyed to the right side blocking structure and left side of which is standing still and performing rotation operations;
the content splicing mechanism is connected with the panoramic snapshot mechanism and used for sending a snapshot stopping instruction to the panoramic snapshot mechanism and sending a spliced panoramic image to be output as a corn whole-body image when a plurality of continuous images transmitted by the panoramic snapshot mechanism can be spliced into a panoramic image of the whole body of the corn;
using instant enhancement equipment, connected with the content splicing mechanism, for executing contrast enhancement processing on the received content splicing mechanism to obtain a contrast enhancement image;
using a subentry detection mechanism, connected with the instant enhancement equipment, for extracting each corn grain object in the contrast enhancement image based on the corn grain imaging feature, and further for extracting each cavity object in the contrast enhancement image based on the cavity imaging feature, wherein each cavity is a gap left after a single corn grain among the corn grains on the corn is missing;
using a quantity analysis device connected with the item detection mechanism and used for dividing the quantity of each corn particle object by the quantity of each cavity object to obtain a corresponding quality proportion and determining the quality grade of the corn based on the quality proportion;
wherein determining a quality grade of the corn based on the quality ratio comprises: the larger the numerical value of the mass ratio, the higher the quality grade of the corresponding corn.
Next, the detailed steps of the rotary item detection method of the present invention will be further described.
The rotary type subentry detection method comprises the following steps:
the itemized detection mechanism comprises a first detection unit and a second detection unit, wherein the first detection unit is used for extracting each corn grain object in the contrast lifting image based on the corn grain imaging characteristics.
The rotary type subentry detection method comprises the following steps:
the second detection unit is used for extracting each cavity object in the contrast ratio lifting image based on cavity imaging characteristics;
and the content splicing mechanism is also used for sending a continuous snapshot instruction to the panoramic snapshot mechanism when the plurality of continuous images transmitted by the panoramic snapshot mechanism are not spliced into the panoramic image of the whole body of the corn.
The rotary type subentry detection method comprises the following steps:
in the first detection unit, the corn grain imaging characteristic is the geometric shape of a single corn grain or the color imaging characteristic of the single corn grain.
The rotary type subentry detection method comprises the following steps:
in the second detection unit, the cavity imaging characteristic is a color imaging characteristic of the cavity, and the color imaging characteristic of the cavity is a gray value distribution range of pixel points in the cavity object imaging image.
In addition, in the rotary type subentry detection system and method of the invention, a DDR memory is also arranged in the subentry detection mechanism and is used for temporarily storing various input and output data. Strictly speaking, DDR is called DDR SDRAM, which is commonly called DDR, and some beginners also commonly see DDR SDRAM, which is regarded as SDRAM. DDR SDRAM, an acronym for Double Data Rate SDRAM, means Double-Data synchronous dynamic random access memory. DDR memory is developed on the basis of SDRAM memory, and SDRAM production system is still used, so for memory manufacturers, DDR memory production can be realized only by slightly improving equipment for manufacturing common SDRAM, and cost can be effectively reduced. The SDRAM only transmits data once in a clock period, and the data transmission is carried out in the rising period of the clock; the DDR memory transfers data twice in one clock cycle, and can transfer data once in the rising period and the falling period of the clock, so the DDR memory is called a double-rate synchronous dynamic random access memory. DDR memory can achieve higher data transfer rates at the same bus frequency as SDRAM. Compared with SDRAM: DDR uses a more advanced synchronous circuit, so that the main steps of transmission and output of the designated address and data are independently executed and are kept completely synchronous with the CPU; DDR uses DLL (Delay Locked Loop) technology, and when data is valid, the memory controller can use this data filter signal to pinpoint the data, output it every 16 times, and resynchronize the data from different memory modules. DDR essentially doubles the speed of SDRAM without increasing the clock frequency, allowing data to be read on both the rising and falling edges of the clock pulse, thus doubling its speed as standard SDRA.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) 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: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A rotary itemized detection system, said system comprising:
the customized rotating mechanism comprises a bottom rotating platform and a right side blocking structure, the right side blocking structure is located on the right side of the bottom rotating platform, the bottom rotating platform comprises a rotary type circular ring structure and a driving motor for driving the rotary type circular ring structure to rotate, the distance between the left end of a top circular arc of the rotary type circular ring structure and the bottom of the right side blocking structure is smaller than a preset distance threshold, the rotary type circular ring structure rotates clockwise from left to right, and therefore corns transmitted from the right end of the top circular arc of the rotary type circular ring structure are transmitted to the left side of the right side blocking structure and cannot be stopped before and rotating operation is executed;
the panoramic snapshot mechanism is arranged right above the left end of the top arc of the rotary circular ring structure and is used for performing snapshot operation on a plurality of continuous images of the corns which are conveyed to the right side blocking structure and are not in front of the left side blocking structure and perform rotation operation;
the content splicing mechanism is connected with the panoramic snapshot mechanism and used for sending a snapshot stopping instruction to the panoramic snapshot mechanism and sending a spliced panoramic image to be output as a whole corn image when a plurality of continuous images transmitted by the panoramic snapshot mechanism can be spliced into a panoramic image of the whole corn;
the instant enhancement equipment is connected with the content splicing mechanism and is used for executing contrast enhancement processing on the received content splicing mechanism so as to obtain a contrast enhancement image;
the item detection mechanism is connected with the instant enhancement equipment and used for extracting each corn particle object in the contrast enhancement image based on the corn particle imaging characteristic and extracting each cavity object in the contrast enhancement image based on the cavity imaging characteristic, and each cavity is a gap reserved after a single corn particle among the corn particles on the corn is lost;
the quantity analysis device is connected with the item detection mechanism and is used for dividing the quantity of each corn particle object by the quantity of each cavity object to obtain a corresponding quality proportion and determining the quality grade of the corn based on the quality proportion;
wherein determining a quality grade of the corn based on the quality ratio comprises: the larger the numerical value of the mass ratio, the higher the quality grade of the corresponding corn.
2. The rotary itemized detection system according to claim 1, wherein:
the itemized detection mechanism comprises a first detection unit and a second detection unit, wherein the first detection unit is used for extracting each corn grain object in the contrast lifting image based on the corn grain imaging characteristics.
3. The rotary itemized detection system according to claim 2, wherein:
the second detection unit is used for extracting each cavity object in the contrast ratio lifting image based on cavity imaging characteristics;
and the content splicing mechanism is also used for sending a continuous snapshot instruction to the panoramic snapshot mechanism when the plurality of continuous images transmitted by the panoramic snapshot mechanism are not spliced into the panoramic image of the whole body of the corn.
4. The rotary itemized detection system according to claim 3, wherein:
in the first detection unit, the corn grain imaging characteristic is the geometric shape of a single corn grain or the color imaging characteristic of the single corn grain.
5. The rotary itemized detection system according to claim 4, wherein:
in the second detection unit, the cavity imaging characteristic is a color imaging characteristic of the cavity, and the color imaging characteristic of the cavity is a gray value distribution range of pixel points in the cavity object imaging image.
6. A rotary itemized detection method, the method comprising:
the method comprises the steps that a customized rotating mechanism is used and comprises a bottom rotating platform and a right side blocking structure, the right side blocking structure is located on the right side of the bottom rotating platform, the bottom rotating platform comprises a rotary circular ring structure and a driving motor for driving the rotary circular ring structure to rotate, the distance between the left end of a top circular arc of the rotary circular ring structure and the bottom of the right side blocking structure is smaller than a preset distance threshold, the rotary circular ring structure rotates clockwise from left to right, and therefore corn conveyed from the right end of the top circular arc of the rotary circular ring structure cannot be stopped before being conveyed to the left side of the right side blocking structure and rotation operation is carried out;
the panoramic snapshot mechanism is arranged right above the left end of the top arc of the rotary circular ring structure and is used for performing snapshot operation on a plurality of continuous images of the corns which are conveyed to the right side blocking structure and are not in front of the left side blocking structure and perform rotation operation;
the content splicing mechanism is connected with the panoramic snapshot mechanism and used for sending a snapshot stopping instruction to the panoramic snapshot mechanism and sending a spliced panoramic image to be output as a corn whole-body image when a plurality of continuous images transmitted by the panoramic snapshot mechanism can be spliced into a panoramic image of the whole body of the corn;
using instant enhancement equipment, connected with the content splicing mechanism, for executing contrast enhancement processing on the received content splicing mechanism to obtain a contrast enhancement image;
using a subentry detection mechanism, connected with the instant enhancement equipment, for extracting each corn grain object in the contrast enhancement image based on the corn grain imaging feature, and further for extracting each cavity object in the contrast enhancement image based on the cavity imaging feature, wherein each cavity is a gap left after a single corn grain among the corn grains on the corn is missing;
using a quantity analysis device connected with the item detection mechanism and used for dividing the quantity of each corn particle object by the quantity of each cavity object to obtain a corresponding quality proportion and determining the quality grade of the corn based on the quality proportion;
wherein determining a quality grade of the corn based on the quality ratio comprises: the larger the numerical value of the mass ratio, the higher the quality grade of the corresponding corn.
7. The rotary itemized detection method according to claim 6, wherein:
the itemized detection mechanism comprises a first detection unit and a second detection unit, wherein the first detection unit is used for extracting each corn grain object in the contrast lifting image based on the corn grain imaging characteristics.
8. The rotary itemized detection method according to claim 7, wherein:
the second detection unit is used for extracting each cavity object in the contrast ratio lifting image based on cavity imaging characteristics;
and the content splicing mechanism is also used for sending a continuous snapshot instruction to the panoramic snapshot mechanism when the plurality of continuous images transmitted by the panoramic snapshot mechanism are not spliced into the panoramic image of the whole body of the corn.
9. The rotary itemized detection method according to claim 8, wherein:
in the first detection unit, the corn grain imaging characteristic is the geometric shape of a single corn grain or the color imaging characteristic of the single corn grain.
10. The rotary itemized detection method according to claim 9, wherein:
in the second detection unit, the cavity imaging characteristic is a color imaging characteristic of the cavity, and the color imaging characteristic of the cavity is a gray value distribution range of pixel points in the cavity object imaging image.
CN202011254930.1A 2020-11-11 2020-11-11 Rotary type subentry detection system and method Withdrawn CN112611715A (en)

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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN86106220A (en) * 1985-09-19 1987-03-18 迪尔公司 Grain damage analyzer
CN2659120Y (en) * 2003-08-12 2004-12-01 张俊 Small maize thresher
CN101881598A (en) * 2010-06-28 2010-11-10 北京农业智能装备技术研究中心 Automatic corn ear character parameter detecting device based on machine vision
CN103004322A (en) * 2012-12-26 2013-04-03 中国农业大学 Corn ear trait detecting device
CN103039154A (en) * 2012-12-25 2013-04-17 北京农业信息技术研究中心 Method and device for performing high-precision determination of corn ear variety based on images
CN103093456A (en) * 2012-12-25 2013-05-08 北京农业信息技术研究中心 Corn ear character index computing method based on images
CN205120574U (en) * 2015-11-13 2016-03-30 无锡艾科瑞思产品设计与研究有限公司 Spectral detection device of maize quality
WO2016123525A1 (en) * 2015-01-30 2016-08-04 Raytheon Company Apparatus and methods for classifying and counting corn kernels
WO2017021285A1 (en) * 2015-07-31 2017-02-09 Biogemma Method for imaging a corn ear and apparatus for implementing such method
CN106645215A (en) * 2017-01-22 2017-05-10 中国农业大学 Device for measuring moisture contents of corn ears on basis of high-frequency electromagnetic waves
CN108204977A (en) * 2016-12-19 2018-06-26 广东技术师范学院 Corn kernel quality automatic detection device based on machine vision
CN109922250A (en) * 2017-12-12 2019-06-21 杭州海康威视数字技术股份有限公司 A kind of target object grasp shoot method, device and video monitoring equipment
CN110346376A (en) * 2019-07-01 2019-10-18 中国农业大学 A kind of two-sided non-destructive testing device of Portable corn mildew

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN86106220A (en) * 1985-09-19 1987-03-18 迪尔公司 Grain damage analyzer
CN2659120Y (en) * 2003-08-12 2004-12-01 张俊 Small maize thresher
CN101881598A (en) * 2010-06-28 2010-11-10 北京农业智能装备技术研究中心 Automatic corn ear character parameter detecting device based on machine vision
CN103039154A (en) * 2012-12-25 2013-04-17 北京农业信息技术研究中心 Method and device for performing high-precision determination of corn ear variety based on images
CN103093456A (en) * 2012-12-25 2013-05-08 北京农业信息技术研究中心 Corn ear character index computing method based on images
CN103004322A (en) * 2012-12-26 2013-04-03 中国农业大学 Corn ear trait detecting device
WO2016123525A1 (en) * 2015-01-30 2016-08-04 Raytheon Company Apparatus and methods for classifying and counting corn kernels
WO2017021285A1 (en) * 2015-07-31 2017-02-09 Biogemma Method for imaging a corn ear and apparatus for implementing such method
CN205120574U (en) * 2015-11-13 2016-03-30 无锡艾科瑞思产品设计与研究有限公司 Spectral detection device of maize quality
CN108204977A (en) * 2016-12-19 2018-06-26 广东技术师范学院 Corn kernel quality automatic detection device based on machine vision
CN106645215A (en) * 2017-01-22 2017-05-10 中国农业大学 Device for measuring moisture contents of corn ears on basis of high-frequency electromagnetic waves
CN109922250A (en) * 2017-12-12 2019-06-21 杭州海康威视数字技术股份有限公司 A kind of target object grasp shoot method, device and video monitoring equipment
CN110346376A (en) * 2019-07-01 2019-10-18 中国农业大学 A kind of two-sided non-destructive testing device of Portable corn mildew

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨晗: "融合机器视觉和CAN总线的生物质形态检测***研发", 《中国优秀硕士学位论文全文数据库 基础科学辑》 *

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