CN102221552A - Measuring method for processing accuracy of rice - Google Patents
Measuring method for processing accuracy of rice Download PDFInfo
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- CN102221552A CN102221552A CN 201110132887 CN201110132887A CN102221552A CN 102221552 A CN102221552 A CN 102221552A CN 201110132887 CN201110132887 CN 201110132887 CN 201110132887 A CN201110132887 A CN 201110132887A CN 102221552 A CN102221552 A CN 102221552A
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Abstract
The invention discloses a measuring method for the processing accuracy of rice, and is characterized in that the measuring method comprises the following steps: obtaining the information of the image chaff region and kernel region of the rice by utilizing the image processing technique of a computer; respectively carrying out the image identification partition and extraction of the image chaff region and the kernel region; and realizing the measurement of the processing accuracy of the rice according to the percentage ratio of the chaff region in the kernel region. The measuring method disclosed by the invention comprises a sampling system, an image acquisition system and an image analysis processing system, wherein the sampling system is connected with the image acquisition system; and the image acquisition system is connected with the image analysis processing system. In the measuring method provided by the invention, the processing accuracy of the rice is detected by utilizing the image information characteristics of grain kernels, and the measuring result is objective, simple, convenient, rapid and automatic.
Description
Technical field
The present invention relates to a kind of meter class Quality Detection technology, especially relate to a kind of method of measuring rice processing precision.
Background technology
What rice processing precision was meant grain of rice back of the body ditch and grain stays the skin degree, i.e. the brown rice cortex degree of being gone by stone roller.Machining precision is one of influence rice class presentation quality important indicator, and machining precision is high more, and grain of rice remained on surface chaff skin amount is just few more, and the endosperm surface smoothness is just high more, and mouthfeel is just good more, and its exterior quality is just good more.Rely on the method for artificial visual to judge the machining precision height when the production and processing of rice class often, subjective randomness is very big.At present the national standard method of measuring at China's rice processing precision is a decoration method, and complex operation, detection speed are slow, and it is more influenced by artificial subjective factor, is difficult to accomplish objective evaluation, and is very unfavorable to the processing of rice class, deciding grade and level, purchase etc.The picture characteristics of foodstuff grain can reflect the foodstuff grain interior quality, and the quality of agricultural product detection range has begun to use computer image processing technology both at home and abroad in recent years, obtains good result.Utilize that the image information of foodstuff grain realizes that the method for its quality determination has quick and precisely, objective and fair, pollution-free advantage such as harmless, can not only improve the foodstuff grain circulation efficiency, and product quality can be guaranteed effectively also.Therefore utilize computer image processing technology to realize that the mensuration of rice processing precision has broad application prospects.
Summary of the invention
Purpose of the present invention just be to provide a kind of quick and precisely, the method for the mensuration rice processing precision of objective and fair.
Purpose of the present invention can realize by following measure:
Assay method of the present invention is to utilize computer image processing technology to obtain rice class image territory, chaff dermatotome and seed area information, the image recognition of carrying out territory, chaff dermatotome and seed zone is respectively cut apart and extraction, accounts for the mensuration of the percent value realization rice processing precision in seed zone according to territory, chaff dermatotome.
Assay method of the present invention comprises sampling system, image capturing system and image analysis processing system.Sampling system among the present invention is any in conveying belt and the pallet.Image capturing system comprises casing, light source and image acquiring device.Casing is the irreflexive camera bellows casing of inwall.Light source is light emitting diode or other light sources.Image acquiring device adopts among Charge Coupled Device (CCD) CCD, cmos image sensor, digital camera, Digital Video, light sensor CIS, self-scanning photodiode array SPD or the charge injection device CID any.The image analysis processing system comprises computing machine or single-chip microcomputer and corresponding analysis and processing program.This analysis and processing program comprises:
First step: read original rice class image;
Second step: carry out a meter class image pre-service;
Third step: carry out a meter class graphical analysis;
The 4th step: extract rice class chaff dermatotome characteristic of field value;
The 5th step: extract rice class seed provincial characteristics value;
The 6th step: utilize rice class chaff dermatotome characteristic of field value to carry out image recognition and cut apart, obtain territory, chaff dermatotome;
The 7th step: utilize rice class seed provincial characteristics value to carry out image recognition and cut apart, obtain the seed zone;
The 8th step: extract rice class chaff dermatotome area image pixel value;
The 9th step: extract rice class seed area image pixel value;
The tenth step: calculate the percent value that rice territory, class chaff dermatotome accounts for the seed zone;
The 11 step: output rice processing precision.
This analysis and processing program can adopt various program languages such as C, C++, MATLAB, VB, Delphi, Pascal.
The tiling of rice class individual layer enters image capturing system through sampling system, catches a meter class seed image by image acquiring device, and rice class seed image calculates rice processing precision through the identification of image analysis processing system handles.
The present invention utilizes the image information feature of rice class seed that machining precision is detected, and measurement result is objective, easy, quick, robotization.
Description of drawings
Fig. 1 is a structural representation of the present invention;
Fig. 2 is the program flow diagram of analysis and processing program of the present invention;
Fig. 3 is a system convergence mode of the present invention.
Embodiment
The present invention does with detailed description below in conjunction with drawings and Examples:
Embodiment 1: as shown in the figure, after the rice class sample cleaning removal of impurities, the individual layer tiling is by the conveying belt sample introduction, enter image capturing system, the sample reflected image is caught by image acquiring device and is obtained, rice class sample image input computing machine utilizes the image analysis processing system by analysis and processing program image to be handled, and realizes the on-line determination of rice processing precision.
Embodiment 2: as shown in the figure, after the rice class sample cleaning removal of impurities, tile to pallet by manually foodstuff grain being carried out individual layer, enter image capturing system, the sample reflected image is caught by image acquiring device and is obtained, rice class sample image input computing machine utilizes the image analysis processing system by analysis and processing program image to be handled, and realizes the static measurement of rice processing precision.
Claims (9)
1. rice processing precision method for measuring, it is characterized in that: described assay method is to utilize computer image processing technology to obtain rice class image territory, chaff dermatotome and seed area information, the image recognition of carrying out territory, chaff dermatotome and seed zone is respectively cut apart and extraction, accounts for the mensuration of the percent value realization rice processing precision in seed zone according to territory, chaff dermatotome.
2. rice processing precision assay method according to claim 1, it is characterized in that: described assay method is according to the image information of rice class seed rice processing precision to be measured, and it comprises sampling system (a), image capturing system (b), image analysis processing system (c); Wherein, sampling system (a) is connected to image capturing system (b), and image capturing system (b) is connected to image analysis processing system (c).
3. rice processing precision assay method according to claim 1 and 2 is characterized in that: described sampling system (a) is any device in pallet, the conveying belt (1).
4. rice processing precision assay method according to claim 1 and 2 is characterized in that: described image capturing system (b) comprises casing (2), light source (3) and image acquiring device (4).
5. according to claim 2 or 4 described rice processing precision assay methods, it is characterized in that: the casing (2) of described image capturing system (b) is the irreflexive camera bellows casing of inwall.
6. according to claim 2 or 4 described rice processing precision assay methods, it is characterized in that: the light source (3) of described image capturing system (b) is light emitting diode or other light sources.
7. according to claim 2 or 4 described rice processing precision assay methods, it is characterized in that: the image acquiring device (4) of described image capturing system (b) adopts among Charge Coupled Device (CCD) CCD, cmos image sensor, digital camera, Digital Video, light sensor CIS, self-scanning photodiode array SPD or the charge injection device CID any.
8. rice processing precision assay method according to claim 1 and 2 is characterized in that: described image analysis processing system (c) comprises computing machine (5) or single-chip microcomputer and corresponding analysis and processing program.
9. according to claim 1 or 8 described rice processing precision assay methods, it is characterized in that: described analysis and processing program comprises:
First step: read original rice class image;
Second step: carry out a meter class image pre-service;
Third step: carry out a meter class graphical analysis;
The 4th step: extract rice class chaff dermatotome characteristic of field value;
The 5th step: extract rice class seed provincial characteristics value;
The 6th step: utilize rice class chaff dermatotome characteristic of field value to carry out image recognition and cut apart, obtain territory, chaff dermatotome;
The 7th step: utilize rice class seed provincial characteristics value to carry out image recognition and cut apart, obtain the seed zone;
The 8th step: extract rice class chaff dermatotome area image pixel value;
The 9th step: extract rice class seed area image pixel value;
The tenth step: calculate the percent value that rice territory, class chaff dermatotome accounts for the seed zone;
The 11 step: output rice processing precision.
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201110132887 CN102221552A (en) | 2011-05-23 | 2011-05-23 | Measuring method for processing accuracy of rice |
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| CN 201110132887 CN102221552A (en) | 2011-05-23 | 2011-05-23 | Measuring method for processing accuracy of rice |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104062298A (en) * | 2014-07-04 | 2014-09-24 | 江苏大学 | Device and method for automatically monitoring impurity rate of grains in grain tank of combine harvester based on image processing |
| CN107631985A (en) * | 2017-09-22 | 2018-01-26 | 宿松县佳兴米业有限公司 | A kind of intelligent rice processing accuracy detecting system |
| CN108240987A (en) * | 2016-12-27 | 2018-07-03 | 中国船舶重工集团公司七五○试验场 | A kind of paddy ranking equipment |
| CN110487796A (en) * | 2019-08-16 | 2019-11-22 | 上海达梦数据技术有限公司 | A kind of material detection method and device based on image |
| CN112118774A (en) * | 2018-05-17 | 2020-12-22 | 皇家飞利浦有限公司 | Cooking appliance for cooking whole grains such as whole grain rice |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101823057A (en) * | 2009-03-04 | 2010-09-08 | 上海亦晨信息科技发展有限公司 | Rice color sorter system |
| CN101915712A (en) * | 2010-08-17 | 2010-12-15 | 国家粮食储备局无锡科学研究设计院 | Method for detecting rice processing accuracy |
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2011
- 2011-05-23 CN CN 201110132887 patent/CN102221552A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101823057A (en) * | 2009-03-04 | 2010-09-08 | 上海亦晨信息科技发展有限公司 | Rice color sorter system |
| CN101915712A (en) * | 2010-08-17 | 2010-12-15 | 国家粮食储备局无锡科学研究设计院 | Method for detecting rice processing accuracy |
Non-Patent Citations (2)
| Title |
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| 《中国粮油学报》 20060831 张浩 等 基于图像处理技术大米加工精度的检测研究 135-137 1-9 第21卷, 第4期 * |
| 《农业工程学报》 19960930 许俐 等 大米加工精度的图象识别方法 172-173 4-7 第12卷, 第3期 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104062298A (en) * | 2014-07-04 | 2014-09-24 | 江苏大学 | Device and method for automatically monitoring impurity rate of grains in grain tank of combine harvester based on image processing |
| CN108240987A (en) * | 2016-12-27 | 2018-07-03 | 中国船舶重工集团公司七五○试验场 | A kind of paddy ranking equipment |
| CN107631985A (en) * | 2017-09-22 | 2018-01-26 | 宿松县佳兴米业有限公司 | A kind of intelligent rice processing accuracy detecting system |
| CN112118774A (en) * | 2018-05-17 | 2020-12-22 | 皇家飞利浦有限公司 | Cooking appliance for cooking whole grains such as whole grain rice |
| CN112118774B (en) * | 2018-05-17 | 2022-06-24 | 皇家飞利浦有限公司 | Cooking appliance for cooking whole grains such as whole grain rice |
| CN110487796A (en) * | 2019-08-16 | 2019-11-22 | 上海达梦数据技术有限公司 | A kind of material detection method and device based on image |
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Application publication date: 20111019 |