CN105954284A - Rice quality detection method - Google Patents
Rice quality detection method Download PDFInfo
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- CN105954284A CN105954284A CN201610297712.3A CN201610297712A CN105954284A CN 105954284 A CN105954284 A CN 105954284A CN 201610297712 A CN201610297712 A CN 201610297712A CN 105954284 A CN105954284 A CN 105954284A
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- 235000007164 Oryza sativa Nutrition 0.000 title claims abstract description 106
- 235000009566 rice Nutrition 0.000 title claims abstract description 103
- 238000001514 detection method Methods 0.000 title claims abstract description 35
- 240000007594 Oryza sativa Species 0.000 title description 4
- 241000209094 Oryza Species 0.000 claims abstract description 102
- 238000005303 weighing Methods 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000006243 chemical reaction Methods 0.000 claims abstract description 4
- 239000012535 impurity Substances 0.000 claims abstract description 4
- 235000013339 cereals Nutrition 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 5
- 210000000582 semen Anatomy 0.000 description 5
- 108090000623 proteins and genes Proteins 0.000 description 4
- 102000004169 proteins and genes Human genes 0.000 description 4
- 235000021329 brown rice Nutrition 0.000 description 2
- 235000014633 carbohydrates Nutrition 0.000 description 2
- 150000001720 carbohydrates Chemical class 0.000 description 2
- GVJHHUAWPYXKBD-UHFFFAOYSA-N d-alpha-tocopherol Natural products OC1=C(C)C(C)=C2OC(CCCC(C)CCCC(C)CCCC(C)C)(C)CCC2=C1C GVJHHUAWPYXKBD-UHFFFAOYSA-N 0.000 description 2
- 238000010191 image analysis Methods 0.000 description 2
- MYVIATVLJGTBFV-UHFFFAOYSA-M thiamine(1+) chloride Chemical compound [Cl-].CC1=C(CCO)SC=[N+]1CC1=CN=C(C)N=C1N MYVIATVLJGTBFV-UHFFFAOYSA-M 0.000 description 2
- FPIPGXGPPPQFEQ-UHFFFAOYSA-N 13-cis retinol Natural products OCC=C(C)C=CC=C(C)C=CC1=C(C)CCCC1(C)C FPIPGXGPPPQFEQ-UHFFFAOYSA-N 0.000 description 1
- 238000012935 Averaging Methods 0.000 description 1
- 102000006395 Globulins Human genes 0.000 description 1
- 108010044091 Globulins Proteins 0.000 description 1
- 108010073032 Grain Proteins Proteins 0.000 description 1
- 229920002472 Starch Polymers 0.000 description 1
- FPIPGXGPPPQFEQ-BOOMUCAASA-N Vitamin A Natural products OC/C=C(/C)\C=C\C=C(\C)/C=C/C1=C(C)CCCC1(C)C FPIPGXGPPPQFEQ-BOOMUCAASA-N 0.000 description 1
- 229930003270 Vitamin B Natural products 0.000 description 1
- 229930003427 Vitamin E Natural products 0.000 description 1
- FPIPGXGPPPQFEQ-OVSJKPMPSA-N all-trans-retinol Chemical compound OC\C=C(/C)\C=C\C=C(/C)\C=C\C1=C(C)CCCC1(C)C FPIPGXGPPPQFEQ-OVSJKPMPSA-N 0.000 description 1
- 150000001413 amino acids Chemical class 0.000 description 1
- 235000019621 digestibility Nutrition 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000003925 fat Substances 0.000 description 1
- 235000019197 fats Nutrition 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- WIGCFUFOHFEKBI-UHFFFAOYSA-N gamma-tocopherol Natural products CC(C)CCCC(C)CCCC(C)CCCC1CCC2C(C)C(O)C(C)C(C)C2O1 WIGCFUFOHFEKBI-UHFFFAOYSA-N 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 235000018102 proteins Nutrition 0.000 description 1
- 235000019698 starch Nutrition 0.000 description 1
- 239000008107 starch Substances 0.000 description 1
- 235000019155 vitamin A Nutrition 0.000 description 1
- 239000011719 vitamin A Substances 0.000 description 1
- 235000019156 vitamin B Nutrition 0.000 description 1
- 239000011720 vitamin B Substances 0.000 description 1
- 235000019165 vitamin E Nutrition 0.000 description 1
- 229940046009 vitamin E Drugs 0.000 description 1
- 239000011709 vitamin E Substances 0.000 description 1
- 229940045997 vitamin a Drugs 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/52—Weighing apparatus combined with other objects, e.g. furniture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30128—Food products
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a rice quality detection method, which comprises the steps of: S1, taking 400-500g of to-be-detected rice and placing the rice in a rice storage box, removing impurities from the to-be-detected rice, then taking the rice out of the rice storage box by a rice fetcher, and arranging the rice regularly on a detection box; S2, weighing the rice on the detection box by a weighing device, and transmitting the weighing data to an intelligent terminal; S3, acquiring a rice appearance image through an image acquisition device, transmitting the rice appearance image to the intelligent terminal, conducting denoising on the rice appearance image, then analyzing and contrasting the rice tissue characteristics of the rice appearance image to obtain rice acquired data, and displaying the rice acquired data on a display screen of the intelligent terminal; S4, converting the rice appearance image by an analog digital conversion module; and S5, carrying out grading according to the rice quality. The method provided by the invention is simple, can realize accurate and automatic detection of various appearance quality indexes of rice, and can perform multi-parameter and batched automatic analysis, and is suitable for various rice.
Description
Technical field
The present invention relates to rice quality detection method technical field, particularly relate to a kind of rice quality detection method.
Background technology
Rice is one of staple food of the mankind, and according to modern nutriology analysis, rice contains protein, fat, vitamin A, E and several mineral materials.For kind, rice have Semen oryzae sativae and Oryza glutinosa point.Carbohydrate containing about 75% in rice, protein 7%-8%, fat 1.3%-1.8%, and containing abundant vitamin B group etc..Carbohydrate in Semen oryzae sativae rice is mainly starch, contained protein is mainly oryzenin, next to that oryzenin and globulin, the biological value of its protein and amino acid whose composition are all high than cereal crops such as Semen Tritici aestivi, Fructus Hordei Vulgaris, Semen setariae, Semen Maydiss, digestibility 66.8%-83.1%, is also one higher in grain protein.
There is detection time length in existing rice kernel detection method, personal error is big, can not realize the detection the most automatically of every exterior quality index, and detection is not comprehensive, we have proposed a kind of rice quality detection method for this, is used for solving the problems referred to above.
Summary of the invention
The technical problem existed based on background technology, the present invention proposes a kind of rice quality detection method.
A kind of rice quality detection method that the present invention proposes, comprises the following steps:
S1, takes 400-500g rice to be detected and is placed in storage rice box, will take rice by taking meter device after rice remove impurity to be detected from storage rice box, and regularly arranged on detection box；
S2, is weighed to the rice on detection box by weighing device, and weighing data is transferred to intelligent terminal；
S3, by image acquisition device rice appearance images, and rice appearance images is transferred to intelligent terminal, rice appearance images is carried out denoising, obtaining rice after rice tissue signature in rice appearance images is analyzed contrast again and gather data, rice gathers data and shows on the display screen of intelligent terminal；
S4, is changed rice appearance images by Analog-digital Converter module, the data after conversion is carried out intellectual analysis, and is saved in intelligent terminal by analytical data；
S5, according to rice quality grade classification, is divided to rice in the grade of correspondence, can complete a kind of rice quality detection.
Preferably, described intelligent terminal is provided with human-computer interaction module, and described human-computer interaction module includes display screen and operation module.
Preferably, described rice collection data include image acquisition data, big grain of rice number data and grain type detection data.
Preferably, described image collector is set to CMOS-type video camera.
In the present invention, can be used for the precisely automatically detection of various types of rice (polished rice, brown rice, Oryza glutinosa etc.) every exterior quality index, multiparameter, the automatically analyzing of mass can be carried out.Wherein intelligent terminal has the self-learning capability of brilliance, realize the one-touch intellectual analysis of hommization, and an other classification error point can be revised alternately, to reach 100% correct classification results, all test image analysis result and data can show on computers and preserve, data are accurately and reliably, result is stable, repeatability is high, the quality status of rice can be easily obtained by this detection method, and intuitively show on intelligent terminal, the inventive method is simple, can exterior quality index every to rice the most automatically detect, and multiparameter can be carried out, automatically analyzing of mass, it is suitable for various rice.
Detailed description of the invention
Below in conjunction with specific embodiment, the present invention is explained orally further.
A kind of rice quality detection method that the present invention proposes, comprises the following steps:
S1, takes 400-500g rice to be detected and is placed in storage rice box, will take rice by taking meter device after rice remove impurity to be detected from storage rice box, and regularly arranged on detection box；
S2, is weighed to the rice on detection box by weighing device, and weighing data is transferred to intelligent terminal；
S3, by image acquisition device rice appearance images, and rice appearance images is transferred to intelligent terminal, rice appearance images is carried out denoising, obtaining rice after rice tissue signature in rice appearance images is analyzed contrast again and gather data, rice gathers data and shows on the display screen of intelligent terminal；
S4, is changed rice appearance images by Analog-digital Converter module, the data after conversion is carried out intellectual analysis, and is saved in intelligent terminal by analytical data；
S5, according to rice quality grade classification, is divided to rice in the grade of correspondence, can complete a kind of rice quality detection.
The denoising flow process of rice appearance images of the present invention, the digital picture in reality is subjected to imaging device in digitized and transmitting procedure to be affected with external environmental noise interference etc., the most noisy image or noise image.The process of noise in digital picture that reduces is referred to as image denoising.The mean filter using neighborhood averaging is highly suitable for removing the grain noise in the image obtained by scanning.
The present invention can be used for the precisely automatically detection of various types of rice (polished rice, brown rice, Oryza glutinosa etc.) every exterior quality index, can carry out multiparameter, the automatically analyzing of mass.Wherein intelligent terminal has the self-learning capability of brilliance, realize the one-touch intellectual analysis of hommization, and an other classification error point can be revised alternately, to reach 100% correct classification results, all test image analysis result and data can show on computers and preserve, data accurately and reliably, result height stable, repeated, can easily be obtained the quality status of rice by this detection method, and intuitively show on intelligent terminal.
The above; it is only the present invention preferably detailed description of the invention; but protection scope of the present invention is not limited thereto; any those familiar with the art is in the technical scope that the invention discloses; according to technical scheme and inventive concept equivalent or change in addition thereof, all should contain within protection scope of the present invention.
Claims (4)
1. a rice quality detection method, it is characterised in that comprise the following steps:
S1, takes 400-500g rice to be detected and is placed in storage rice box, will take rice by taking meter device after rice remove impurity to be detected from storage rice box, and regularly arranged on detection box；
S2, is weighed to the rice on detection box by weighing device, and weighing data is transferred to intelligent terminal；
S3, by image acquisition device rice appearance images, and rice appearance images is transferred to intelligent terminal, rice appearance images is carried out denoising, obtaining rice after rice tissue signature in rice appearance images is analyzed contrast again and gather data, rice gathers data and shows on the display screen of intelligent terminal；
S4, is changed rice appearance images by Analog-digital Converter module, the data after conversion is carried out intellectual analysis, and is saved in intelligent terminal by analytical data；
S5, according to rice quality grade classification, is divided to rice in the grade of correspondence, can complete a kind of rice quality detection.
A kind of rice quality detection method the most according to claim 1, it is characterised in that described intelligent terminal is provided with human-computer interaction module, and described human-computer interaction module includes display screen and operation module.
A kind of rice quality detection method the most according to claim 1, it is characterised in that described rice gathers data and includes image acquisition data, big grain of rice number data and grain type detection data.
A kind of rice quality detection method the most according to claim 1, it is characterised in that described image collector is set to CMOS-type video camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610297712.3A CN105954284A (en) | 2016-05-06 | 2016-05-06 | Rice quality detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610297712.3A CN105954284A (en) | 2016-05-06 | 2016-05-06 | Rice quality detection method |
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| CN105954284A true CN105954284A (en) | 2016-09-21 |
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| CN201610297712.3A Pending CN105954284A (en) | 2016-05-06 | 2016-05-06 | Rice quality detection method |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN108872235A (en) * | 2018-06-23 | 2018-11-23 | 安盛机器人技术（盘锦）有限公司 | Broken rice rate and rate of kernels with remained germ analysis machine |
| CN109142656A (en) * | 2018-08-22 | 2019-01-04 | 广州粮将电子商务有限公司 | Rice quality detects methods of exhibiting |
| CN110221032A (en) * | 2019-07-09 | 2019-09-10 | 浙江五芳斋实业股份有限公司 | A kind of rice quality detection method based near infrared spectrum |
| CN111982906A (en) * | 2020-08-28 | 2020-11-24 | 天津黄庄稻香米业有限公司 | Rice quality detection method |
| CN114486877B (en) * | 2020-10-23 | 2024-01-19 | 合肥美亚光电技术股份有限公司 | Rice quality detection method, rice quality detection device and storage medium |
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| CN202421024U (en) * | 2011-12-06 | 2012-09-05 | 李同强 | Broken rice rate on-line detection system |
| CN202438473U (en) * | 2012-03-06 | 2012-09-19 | 佳木斯大学 | Chalky rice detecting and sorting device based on digital signal processing technology |
| CN202471601U (en) * | 2011-12-06 | 2012-10-03 | 李同强 | Online detecting system of chalky rice in rice |
| CN103884274A (en) * | 2013-11-25 | 2014-06-25 | 天津思博科科技发展有限公司 | Rice grain type detection system |
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2016
- 2016-05-06 CN CN201610297712.3A patent/CN105954284A/en active Pending
Patent Citations (4)
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| CN202471601U (en) * | 2011-12-06 | 2012-10-03 | 李同强 | Online detecting system of chalky rice in rice |
| CN202438473U (en) * | 2012-03-06 | 2012-09-19 | 佳木斯大学 | Chalky rice detecting and sorting device based on digital signal processing technology |
| CN103884274A (en) * | 2013-11-25 | 2014-06-25 | 天津思博科科技发展有限公司 | Rice grain type detection system |
Non-Patent Citations (2)
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| 孙明等: "基于计算机视觉的大米外观品质检测", 《沈阳农业大学学报》 * |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN108872235A (en) * | 2018-06-23 | 2018-11-23 | 安盛机器人技术（盘锦）有限公司 | Broken rice rate and rate of kernels with remained germ analysis machine |
| CN109142656A (en) * | 2018-08-22 | 2019-01-04 | 广州粮将电子商务有限公司 | Rice quality detects methods of exhibiting |
| CN110221032A (en) * | 2019-07-09 | 2019-09-10 | 浙江五芳斋实业股份有限公司 | A kind of rice quality detection method based near infrared spectrum |
| CN111982906A (en) * | 2020-08-28 | 2020-11-24 | 天津黄庄稻香米业有限公司 | Rice quality detection method |
| CN114486877B (en) * | 2020-10-23 | 2024-01-19 | 合肥美亚光电技术股份有限公司 | Rice quality detection method, rice quality detection device and storage medium |
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