CN103592316A - Method for detecting defects of potatoes - Google Patents
Method for detecting defects of potatoes Download PDFInfo
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- CN103592316A CN103592316A CN201310501377.0A CN201310501377A CN103592316A CN 103592316 A CN103592316 A CN 103592316A CN 201310501377 A CN201310501377 A CN 201310501377A CN 103592316 A CN103592316 A CN 103592316A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/10—Starch-containing substances, e.g. dough
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Abstract
The invention discloses a method for detecting defects of potatoes. The method comprises the following steps: cleaning and drying potatoes subjected to steam peeling, transferring the potatoes to a metal plate, contacting with running water at the temperature of 5-30 DEG C at the bottom of the metal plate, heating the potatoes by using an infrared lamp, photographing by using an infrared camera, transmitting the photographed photos to a computer, processing and analyzing an infrared thermogram of the potatoes through the computer, performing median filtering or average filtering and noise reduction on the thermogram, extracting a potato thermogram area by adopting a threshold segmentation method, and calculating an average temperature value of pixels in the area; calculating the difference of the temperature value of each pixel point and the average temperature value in the area, and calculating the area of a material object which corresponds to the pixel point with the absolute value of the calculated difference is larger than 1 DEG C, and if the area is larger than 25mm<2>, the potato is considered as a potato with the defects. The potatoes with poor quality are identified through a machine, damaged, rotted and germinative peeled potatoes are rapidly identified by utilizing a thermal imaging technology, and the identification accuracy rate is high and stable.
Description
Technical field
The present invention relates to a kind of method for quick identification of Potato Quality, relate in particular to a kind of method of utilizing thermal imaging method to differentiate fast defect potato, belong to field of non destructive testing.
Background technology
Potato is one of four generalized grain crops of human society now, is only second to paddy rice, corn and wheat.Potato contains a large amount of starch, can provide the abundant nutrition energy for eater.Along with the fast development of food industry, the edible way of potato is more and more diversified, and the demands such as the mashed potatoes based on potato full-powder, Hash Browns are increasing.Local flavor, nutritive loss after potato full-powder has fresh potato and cooks are few, quality stability good, the easy to process and advantage such as easy that is shaped, so be widely used in compound French fries (sheet), facilitate mashed potato, fast food (or quick-frozen), expanded and baby food etc., it is popular in the world multiple casual health raw-food material.At present, the production of potato full-powder all adopts mechanization, compares with artificial powder process, raises the efficiency greatly.In the mechanization preparation process of potato full-powder, be first decortication, conventionally, the affinity between epidermis and meat is stronger, and both fit tightly and are difficult to separation, and peeling method has three kinds, comprises chemical peeling, grinding-wheel grinder skin and steam peeling.Chemical peeling method cost improves, and can pollute potato meat and environment; Grinding-wheel grinder pico farad be application wheel to the direct grinding of potato, there is the shortcomings such as meat damage is large, and manufactured goods yield is lower in this method, causes serious waste; Steam peeling is potato to be carried out to high-temperature instantaneous steam skin, and epidermis is expanded, separated rapidly, to meat not damaged, and has high, the free of contamination advantage of decortication efficiency, has become the main method of decortication, and provides basis for obtaining high yield potato powder.
Potato can damage quality in results, storage, transportation, comprises and damages, rots and germination etc.Can there is black change in damage, the rot color of potato top layer meat at position, if do not removed the whiteness that can reduce potato powder, cause the quality of product to reduce, decline in benefits; The potato meat at germination position can turn green, can reduce equally the quality of potato powder; In addition, these potatos are processed helps after powder, and because germination position is poisonous, consumer is edible can impair one's health.For the rejecting of these potatos inferior, be to adopt manual method now, by with the naked eye examining the potato after decortication, find blackening, turn green potato and reject in time.This method wastes time and energy, and is based upon in people's sense organ identification, is subject to people's behavioral implications, relevant with people's notice intensity, mood, degree of fatigue, thereby can not identify fine, exactly these potatos inferior.
The basis of thermal imaging is the infrared radiation sending according to material, infrared (heat) radiation is a kind of electromagenetic wave radiation the most widely that nature exists, all are higher than the object of absolute zero (273 ℃), emitting infrared radiations constantly all, this radiation simultaneously is all loaded with the characteristic information of object.Thereby infrared thermal imaging technique is to utilize object each several part temperature contrast to cause infrared emanation different and the sightless heat radiation situation of object is converted to the technology of visual thermography acquired information.If body surface or inside exist defect, its surface temperature field is different, so also can there is difference to extraradial infrared energy, can reach accordingly the object of nondestructive testing on object quality.
Summary of the invention
The deficiency that the object of the invention is to rely on for overcoming the defects detection of existing potato the identification of people's sense organ, provides a kind of potato defect inspection method based on infrared thermal imaging detection technique, can identify quickly and accurately potato inferior.
In order to achieve the above object, technical scheme of the present invention is to adopt following steps: (1), by the potato after steam peeling, cleans 3 ~ 15min with the circulating water of 5-30 ℃, takes out, and normal temperature air-flow dries up; (2) potato is transferred on sheet metal, under sheet metal, contacted the circulating water of 5-30 ℃, keep temperature stabilization, with infrared lamp, heat potato, bulb power 250 ~ 500W, the distance of bulb and potato is 35 ~ 55cm, heating duration 0.5 ~ 2min; (3) with thermal camera, take pictures, camera lens is apart from potato 35 ~ 55cm, and the infrared photograph of shooting is transferred to computing machine.(4) computing machine carries out Treatment Analysis to potato thermography, thermography Treatment Analysis process is: thermography is carried out to medium filtering or mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of calculated difference be greater than 1 ℃ pixel corresponding area in kind, if area is greater than 25 mm
2, be defective potato.
Advantage and beneficial effect that the present invention has are: the present invention is by machine recognition potato inferior, utilize thermal imaging to reach the peeling potato that quick identification is damaged, rotted and germinate, can overcome the existing shortcoming of identifying by people's sense organ, identification normal solution rate is high, and stable, machine recognition can also reduce production costs widely.
Embodiment
First adopt conventional steam peeling method to carry out high-temperature instantaneous decortication to potato, by the potato after steam peeling, with the circulating water of 5-30 ℃, clean 3 ~ 15min, take out, normal temperature air-flow dries up.Then potato is transferred to above sheet metal, made to contact the circulating water of 5-30 ℃ below sheet metal, keep the temperature stabilization of sheet metal and potato, with infrared lamp, heat potato, bulb power 250 ~ 500W, the distance of bulb and potato is 35 ~ 55cm, heating duration 0.5 ~ 2min.Then with thermal camera to heating taking pictures after potato, the distance of camera lens potato 35 ~ 55cm of thermal camera, is transferred to computing machine by the infrared photograph of shooting, computing machine carries out Treatment Analysis to the thermography of potato.The process of thermography Treatment Analysis is: thermography is carried out to medium filtering or mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of the difference calculating be greater than 1 ℃ pixel corresponding area in kind be
sif, area
sbe greater than 25 mm
2, be defective potato, otherwise, be flawless potato.
Below by 6 embodiment, the present invention is described in further detail.
embodiment 1
By 50 of the potatos after steam peeling, with the circulating waters of 5 ℃, clean 15min, take out, normal temperature air-flow dries up.Potato is transferred on sheet metal, under sheet metal, contacted the circulating water of 15 ℃, keep temperature stabilization.With infrared lamp, heat potato, bulb power 250W, the distance of bulb and potato is 35cm, heating duration 0.5min.With thermal camera, take pictures, camera lens is apart from potato 35cm, and the thermal imagery of shooting is transferred to computing machine.Thermal imagery is carried out to mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of calculated difference be greater than 1 ℃ pixel corresponding area in kind
sif,
sbe greater than 25 mm
2, be defective potato.Through artificial nucleus couple, the machine recognition accuracy of thermal imagery that the method obtains reaches 92.5%.
embodiment 2
By 50 of the potatos after steam peeling, with the water flows of 15 ℃, clean 10min, take out, normal temperature air-flow dries up.Potato is transferred on sheet metal, under sheet metal, contacted the flowing water of 30 ℃, keep temperature stabilization.With infrared lamp, heat potato, bulb power 500W, the distance of bulb and potato is 55cm, heating duration 1min.With thermal camera, take pictures, camera lens is apart from potato 55cm, and the infrared photograph of shooting is transferred to computing machine.Thermal imagery is carried out to mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of calculated difference be greater than 1 ℃ pixel corresponding area in kind
sif,
sbe greater than 25 mm
2, be defective potato.Through artificial nucleus couple, the machine recognition accuracy of thermal imagery that the method obtains reaches 95%.
embodiment 3
By 50 of the potatos after steam peeling, with the water flows of 30 ℃, clean 3min, take out, normal temperature air-flow dries up.Potato is transferred on sheet metal, under sheet metal, contacted the flowing water of 5 ℃, keep temperature stabilization.With infrared lamp, heat potato, bulb power 350W, the distance of bulb and potato is 45cm, heating duration 40 s.With thermal camera, take pictures, camera lens is apart from potato 55cm, and the infrared photograph of shooting is transferred to computing machine.Thermal imagery is carried out to mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of calculated difference be greater than 1 ℃ pixel corresponding area in kind
sif,
sbe greater than 25 mm
2, be defective potato.Through artificial nucleus couple, the machine recognition accuracy of thermal imagery that the method obtains reaches 97.5%.
embodiment 4
By 50 of the potatos after steam peeling, with the water flows of 20 ℃, clean 4min, take out, normal temperature air-flow dries up.Potato is transferred on sheet metal, under sheet metal, contacted the flowing water of 15 ℃, keep temperature stabilization.With infrared lamp, heat potato, bulb power 300W, the distance of bulb and potato is 50cm, heating duration 2min.With thermal camera, take pictures, camera lens is apart from potato 50cm, and the infrared photograph of shooting is transferred to computing machine.Thermal imagery is carried out to mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of calculated difference be greater than 1 ℃ pixel corresponding area in kind
sif,
sbe greater than 25 mm
2, be defective potato.Through artificial nucleus couple, the machine recognition accuracy of thermal imagery that the method obtains reaches 95%.
embodiment 5
By 50 of the potatos after steam peeling, with the water flows of 20 ℃, clean 5min, take out, normal temperature air-flow dries up.Potato is transferred on sheet metal, under sheet metal, contacted the flowing water of 25 ℃, keep temperature stabilization to heat potato with infrared lamp, bulb power 250W, the distance of bulb and potato is 50cm, heating duration 1min.With thermal camera, take pictures, camera lens is apart from potato 50cm, and the infrared photograph of shooting is transferred to computing machine.Thermal imagery is carried out to mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of calculated difference be greater than 1 ℃ pixel corresponding area in kind
sif,
sbe greater than 25 mm
2, be defective potato.Through artificial nucleus couple, the method obtains thermal imagery machine recognition accuracy and reaches 92.5%.
embodiment 6
By 50 of the potatos after steam peeling, with the water flows of 15 ℃, clean 8min, take out, normal temperature air-flow dries up.Potato is transferred on sheet metal, under sheet metal, contacted the flowing water of 30 ℃, keep temperature stabilization.With infrared lamp, heat potato, bulb power 400W, the distance of bulb and potato is 40cm, heating duration 2min.With thermal camera, take pictures, camera lens is apart from potato 40cm, and the infrared photograph of shooting is transferred to computing machine.Thermal imagery is carried out to mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of calculated difference be greater than 1 ℃ pixel corresponding area in kind
sif,
sbe greater than 25 mm
2, be defective potato.Through artificial nucleus couple, the machine recognition accuracy of thermal imagery that the method obtains reaches 90%.
Claims (1)
1. a defect inspection method for potato, is characterized in that adopting following steps:
(1) by the potato after steam peeling, with the circulating water of 5-30 ℃, clean 3 ~ 15min, take out, normal temperature air-flow dries up;
(2) potato is transferred on sheet metal, under sheet metal, contacted the circulating water of 5-30 ℃, keep temperature stabilization, with infrared lamp, heat potato, bulb power 250 ~ 500W, the distance of bulb and potato is 35 ~ 55cm, heating duration 0.5 ~ 2min;
(3) with thermal camera, take pictures, camera lens is apart from potato 35 ~ 55cm, and the infrared photograph of shooting is transferred to computing machine;
(4) computing machine carries out Treatment Analysis to potato thermography, thermography Treatment Analysis process is: thermography is carried out to medium filtering or mean filter denoising, adopt threshold segmentation method, extract the region of potato thermal imagery, calculate the average temperature value of pixel in this region, then the temperature value of each pixel and the difference of average temperature value in zoning, the absolute value of calculated difference be greater than 1 ℃ pixel corresponding area in kind, if area is greater than 25 mm
2, be defective potato.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310501377.0A CN103592316A (en) | 2013-10-23 | 2013-10-23 | Method for detecting defects of potatoes |
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|---|---|---|---|
| CN201310501377.0A CN103592316A (en) | 2013-10-23 | 2013-10-23 | Method for detecting defects of potatoes |
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| Publication Number | Publication Date |
|---|---|
| CN103592316A true CN103592316A (en) | 2014-02-19 |
Family
ID=50082541
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015187021A1 (en) * | 2014-06-06 | 2015-12-10 | Kroef Bart | Method for processing potatoes |
| EP3133389A1 (en) * | 2015-08-19 | 2017-02-22 | CNH Industrial Belgium nv | Method and device for analyzing the composition of a grain-mog mixture |
| CN107247026A (en) * | 2017-07-26 | 2017-10-13 | 成都九维云联科技有限公司 | A kind of pre-judging method of perishable items |
| CN107525780A (en) * | 2017-07-26 | 2017-12-29 | 成都九维云联科技有限公司 | Article degree of spoilage detecting system based on spectral technique |
| CN108362585A (en) * | 2018-02-02 | 2018-08-03 | 中国农业大学 | Potato soil separation test platform for the test of potato collsion damage |
| CN109900707A (en) * | 2019-03-20 | 2019-06-18 | 湖南华曙高科技有限责任公司 | A kind of powdering quality detection method, equipment and readable storage medium storing program for executing |
| CN112285108A (en) * | 2020-10-20 | 2021-01-29 | 深圳技术大学 | Portable noble metal interlaminar adulteration nondestructive testing device based on infrared thermal imaging technology |
-
2013
- 2013-10-23 CN CN201310501377.0A patent/CN103592316A/en not_active Withdrawn
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015187021A1 (en) * | 2014-06-06 | 2015-12-10 | Kroef Bart | Method for processing potatoes |
| NL2012969A (en) * | 2014-06-06 | 2016-03-03 | Kroef Bart | Method for processing of potatoes. |
| EP3133389A1 (en) * | 2015-08-19 | 2017-02-22 | CNH Industrial Belgium nv | Method and device for analyzing the composition of a grain-mog mixture |
| US10709066B2 (en) | 2015-08-19 | 2020-07-14 | Cnh Industrial America Llc | Device for analyzing the composition of a grain-MOG mixture |
| CN107247026A (en) * | 2017-07-26 | 2017-10-13 | 成都九维云联科技有限公司 | A kind of pre-judging method of perishable items |
| CN107525780A (en) * | 2017-07-26 | 2017-12-29 | 成都九维云联科技有限公司 | Article degree of spoilage detecting system based on spectral technique |
| CN108362585A (en) * | 2018-02-02 | 2018-08-03 | 中国农业大学 | Potato soil separation test platform for the test of potato collsion damage |
| CN108362585B (en) * | 2018-02-02 | 2020-03-31 | 中国农业大学 | Potato-soil separation test platform for potato collision damage test |
| CN109900707A (en) * | 2019-03-20 | 2019-06-18 | 湖南华曙高科技有限责任公司 | A kind of powdering quality detection method, equipment and readable storage medium storing program for executing |
| CN109900707B (en) * | 2019-03-20 | 2021-07-02 | 湖南华曙高科技有限责任公司 | Powder paving quality detection method and device and readable storage medium |
| CN112285108A (en) * | 2020-10-20 | 2021-01-29 | 深圳技术大学 | Portable noble metal interlaminar adulteration nondestructive testing device based on infrared thermal imaging technology |
| CN112285108B (en) * | 2020-10-20 | 2023-11-21 | 深圳技术大学 | Portable noble metal interlayer adulteration nondestructive test device based on infrared thermal imaging technology |
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Application publication date: 20140219 |