CN104646305A - Machine vision-based apple online automatic classification separation system - Google Patents
Machine vision-based apple online automatic classification separation system Download PDFInfo
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- CN104646305A CN104646305A CN201310604439.0A CN201310604439A CN104646305A CN 104646305 A CN104646305 A CN 104646305A CN 201310604439 A CN201310604439 A CN 201310604439A CN 104646305 A CN104646305 A CN 104646305A
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Abstract
The invention discloses a machine vision-based apple online automatic classification separation system, and belongs to the technical field of automatic control. The machine vision-based apple online automatic classification separation system is characterized by comprising an ARM controller (1), an image collection module (2), a display module (3), a power supply module (4), a data transmission interface circuit (5), a keyboard input module (6), a system reset module (7), a background processing module (8), a CCD camera (9), an LED radiation source module (10), an upper computer (11), a driving module (12), a horizontal rotation module (13), a vertical lifting module (14) and a separation grab module (15). Compared with the prior art, the machine vision-based apple online automatic classification separation system has the advantages of simple system structure, convenience in assembling and debugging, high system reliability, high measurement accuracy, low power consumption and the like, and is easy to popularize and convenient to maintain.
Description
Technical field
The invention belongs to automatic control technology field, in particular, belong to the on-line automatic classification and sorting system of a kind of apple based on machine vision.
Background technology
Fruit identification and classification and sorting, directly affect the operating efficiency of picking fruit and following process.In the stereovision technique of picking robot, identify fruit and extract the important shape facility of fruit, be characteristic matching and the committed step realizing classification and sorting, wherein fruit identification is the basis of carrying out fruit shapes feature extraction.The people such as Wang Jinjing, Zhao Dean, Ji Wei are in " picking robot is based on SVMs apple recognition method " literary composition, Xie Zhiyong, Zhang Tiezhong are in " Ripened Strawberry Recognition based on Hough transform " literary composition, describe the center of circle of the fruit image be separated from each other respectively, radial features is extracted, overlapping cases adjacent to fruit image common in harvesting is studied less., overlap problem adjacent for fruit image, the rare equality of Yin Jianjun, hair at the automatic division method of multiple target Tomato Image " under the different growth conditions ", Zhao Xiaoxia in " research of peach fruit image algorithm " literary composition, the people such as Cai Jianrong, Zhou little Jun, Li Yuliang are in " based on the identification of machine vision mature oranges in natural scene " literary composition, propose different solutions respectively, but effect is unsatisfactory.Genetic algorithm (GA) has the features such as strong robustness, parallel search, colony's optimizing.Cai Jianrong, Fan Jun etc., in " based on citrus Shape Feature Extraction on the tree of genetic algorithm " literary composition, carry out ellipse fitting to citrus profile at 5 dimension spaces, achieve better effects, but do not discuss that fruit image adjoins, overlapping situation.
Summary of the invention
The present invention, in order to effectively solve above technical problem, gives a kind of apple based on machine vision on-line automatic classification and sorting system.The on-line automatic classification and sorting of the apple based on the machine vision system that the present invention provides, is carrying out in identifying to apple, is utilizing GA to extract apple associated shape, size characteristic, and then realize automatic classification, sorting.
The on-line automatic classification and sorting system of a kind of apple based on machine vision of the present invention, is characterized in that: comprise ARM controller, image capture module, display module, power module, data transmission interface circuit, input through keyboard module, system reset module, background process module, CCD camera, LED illumination light source module, host computer, driver module, horizontally rotate module, vertical lift module, sorting handling module; Wherein:
Described ARM controller respectively with described image capture module, described display module, described power module, described data transmission interface circuit, described input through keyboard module, described system reset module is connected, described background process module respectively with described image capture module, described CCD camera is connected, described CCD camera respectively with described background process module, described LED illumination light source module is connected, described host computer respectively with described data transmission interface circuit, described driver module is connected, described driver module respectively with described host computer, describedly horizontally rotate module, described vertical lift module, described sorting handling module is connected.
The present invention is compared with prior art: have that system architecture is simple, installation and debugging convenient, system reliability is high, certainty of measurement is high, low in energy consumption, be easy to penetration and promotion, the advantage such as easy to maintenance.
Accompanying drawing explanation
Accompanying drawing 1 is the structural representation of the on-line automatic classification and sorting system of apple that the present invention is based on machine vision.
Detailed description of the invention
Fig. 1 is the structural representation of the on-line automatic classification and sorting system of apple that the present invention is based on machine vision, and the on-line automatic classification and sorting system of the apple based on machine vision comprises ARM controller 1, image capture module 2, display module 3, power module 4, data transmission interface circuit 5, input through keyboard module 6, system reset module 7, background process module 8, CCD camera 9, LED illumination light source module 10, host computer 11, driver module 12, horizontally rotates module 13, vertical lift module 14, sorting handling module 15; Wherein:
Described ARM controller 1 respectively with described image capture module 2, described display module 3, described power module 4, described data transmission interface circuit 5, described input through keyboard module 6, described system reset module 7 is connected, described background process module 8 respectively with described image capture module 2, described CCD camera 9 is connected, described CCD camera 9 respectively with described background process module 8, described LED illumination light source module 10 is connected, described host computer 11 respectively with described data transmission interface circuit 5, described driver module 12 is connected, described driver module 12 respectively with described host computer 11, describedly horizontally rotate module 13, described vertical lift module 14, described sorting handling module 15 is connected.
Claims (1)
1. the on-line automatic classification and sorting of the apple based on a machine vision service system, it is characterized in that: comprise ARM controller (1), image capture module (2), display module (3), power module (4), data transmission interface circuit (5), input through keyboard module (6), system reset module (7), background process module (8), CCD camera (9), LED illumination light source module (10), host computer (11), driver module (12), horizontally rotate module (13), vertical lift module (14), sorting handling module (15), wherein:
Described ARM controller (1) respectively with described image capture module (2), described display module (3), described power module (4), described data transmission interface circuit (5), described input through keyboard module (6), described system reset module (7) is connected, described background process module (8) respectively with described image capture module (2), described CCD camera (9) is connected, described CCD camera (9) respectively with described background process module (8), described LED illumination light source module (10) is connected, described host computer (11) respectively with described data transmission interface circuit (5), described driver module (12) is connected, described driver module (12) respectively with described host computer (11), describedly horizontally rotate module (13), described vertical lift module (14), described sorting handling module (15) is connected.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310604439.0A CN104646305A (en) | 2013-11-25 | 2013-11-25 | Machine vision-based apple online automatic classification separation system |
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| CN201310604439.0A CN104646305A (en) | 2013-11-25 | 2013-11-25 | Machine vision-based apple online automatic classification separation system |
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| CN104646305A true CN104646305A (en) | 2015-05-27 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105214964A (en) * | 2015-11-05 | 2016-01-06 | 安徽工程大学 | The flaw combined socket and switch automatic sorting device of Based PC A and method |
| CN105718945A (en) * | 2016-01-20 | 2016-06-29 | 江苏大学 | Apple picking robot night image identification method based on watershed and nerve network |
| CN106896114A (en) * | 2017-03-10 | 2017-06-27 | 胡珂 | A kind of apple automatic boxing method that can detect apple integrity degree |
| CN109499915A (en) * | 2018-11-10 | 2019-03-22 | 东莞理工学院 | A kind of online vision detection system for apple sorting device |
-
2013
- 2013-11-25 CN CN201310604439.0A patent/CN104646305A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105214964A (en) * | 2015-11-05 | 2016-01-06 | 安徽工程大学 | The flaw combined socket and switch automatic sorting device of Based PC A and method |
| CN105718945A (en) * | 2016-01-20 | 2016-06-29 | 江苏大学 | Apple picking robot night image identification method based on watershed and nerve network |
| CN106896114A (en) * | 2017-03-10 | 2017-06-27 | 胡珂 | A kind of apple automatic boxing method that can detect apple integrity degree |
| CN109499915A (en) * | 2018-11-10 | 2019-03-22 | 东莞理工学院 | A kind of online vision detection system for apple sorting device |
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Application publication date: 20150527 |