CN103063309A - Method for testing fruit coloring of apple by digital camera - Google Patents
Method for testing fruit coloring of apple by digital camera Download PDFInfo
- Publication number
- CN103063309A CN103063309A CN2013100073690A CN201310007369A CN103063309A CN 103063309 A CN103063309 A CN 103063309A CN 2013100073690 A CN2013100073690 A CN 2013100073690A CN 201310007369 A CN201310007369 A CN 201310007369A CN 103063309 A CN103063309 A CN 103063309A
- Authority
- CN
- China
- Prior art keywords
- ratio
- fruit
- apple
- value
- color
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Spectrometry And Color Measurement (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses a method for testing fruit coloring of an apple by a digital camera, belongs to the technical field of agriculture information and providing a rapid, non-destructive, simple and easy-to-use method for testing the fruit coloring of the apple. A picture of apple fruit is taken by the digital camera. An R value expressing red color of the fruit, a G value expressing green color value of the fruit and an L value expressing light intensity of the fruit are obtained through processing of the picture by software. A visual corresponding relationship exists between an R/G ratio and the fruit color. A coloring condition of the apple fruit can be expressed by the R/G ratio. When the R/G ratio is small, the fruit is green. When the R/G ratio is large, the fruit is red. A dividing line value is 1.12. When the R/G ratio is larger than or equal to 1.55, the fruit is good in coloring. The fruit coloring condition can be expressed by the R/L ratio as well. When the R/L ratio is small, the fruit is green. When the R/L ratio is large, the fruit color is red. The dividing line value is 1.14. When the R/L ratio is larger than or equal to 1.34, the fruit is good in coloring. According to the method, the fruit color of the apple picked can be tested indoor so that the color of apples on a tree in a field can be tested.
Description
Technical field
The invention belongs to the Agricultural Information technical field, be specifically related to describe the painted R/G ratio of Apple, R/L ratio and with the painted relation of Apple, utilize R/G ratio and R/L ratio to identify the painted method of Apple.
Background technology
Fruit color is one of quality factor of at first recognizing of consumer, and the quality of color directly affects the sale of fruit
[1-2]The painted good and consistent apple of uniform coloring has higher commodity value, and therefore the apple after the results need to according to related standards, according to surface color reach degree of staining and carry out classification.The at present judge of fruit color mainly contains three kinds of methods: (1) with the naked eye passes judgment on fruit color; (2) development fruit harvesting colour atla is by passing judgment on the color of fruit with colour chart comparison
[1-2](3) use Instrument measuring, with L, a, b value
[1-3], R, G, B value or its transformed value
[4-7]The expression fruit color, also someone attempts with CMYK parametric description fruit color
[8]The Instrument measuring fruit color has the advantages such as accurate objective, but requires the conditions such as constant light source and the intensity of light source when measuring different fruit because these are studied
[1,2,4-8], be not suitable for the field and use.For this reason, use for reference the digital camera that utilizes that we have set up and measure fruit tree leaves area new method
[9], a kind of a large amount of digital camera, computing machine and image processing techniquess of popularizing that are intended to utilize are proposed
[10]Measure the new method (digital camera take pictures method of determining and calculating) of mcintosh fruit color, utilize the digital camera Apple of taking pictures to obtain L, R, G and B value, obtain R/G than value representation Apple color by calculating, obtain R/L than value representation Apple color, its distinguishing feature is to measure to carry out at any time, can be used for the upper fruit color of field tree and measure, there are corresponding relation directly perceived in R/G ratio and R/L ratio and fruit color.
List of references
[1] Li Zhensan, Wang Guangyi, Song Shuxiang, Wang Shuzhen opens quiet. the mensuration of Apple color. deciduous fruit tree, 1989,1:156～160
[2] Li Zhensan, Wang Guangyi. the development of the growth of Apple color and harvesting standard colour atla thereof. deciduous fruit tree, 1991,1:5～9
[3] Yuan Kejun. Washington state Apple breeding fruit assessment indicator system is introduced. deciduous fruit tree, 2009,1:60～61
[4] Wang Hongping. Apple Bags is cultivated fruit color impact analysis technical research. Shanxi Agricultural science, 2010,38 (6): 27～28,32
[5] He Dongjian, Yang Qing, Xue Shaoping, Geng Nan. the research of fruit surface color computer vision classification technique. Transactions of the Chinese Society of Agricultural Engineering, 1998,14 (3): 203～205
[6] king builds, Li Shaofa. based on the computer vision classification technique research of apple with ripe color area. and computer engineering and design, 2008,29 (14): 3813～3817
[7] Zhang Wenying, Ying Yibin. the computer vision research of apple with ripe color area. agricultural research, 2005,4:90～92
[8] Li Xin, Shen to, Zhang Xianxian, Zhao Jing. view and admire the Malus spectabilis leaf, really, the digitized description of pattern coloured silk. gardening journal, 2010,37 (11): 1811～1817
[9] Yuan Kejun, Liu Qingzhong, Li Shenglong, Chen Xiuxia. utilize digital camera to measure the new method of fruit tree leaves area. gardening journal, 2006,33 (4): 829-832.
[10] compile education for computer books research department. and Chinese edition Photoshop6.0 is rapid-result. Beijing: aircraft industry publishing house, 2001.298 pages
Summary of the invention
The present invention finds out R/G ratio and the R/L ratio that has corresponding relation directly perceived with fruit color, and the method for utilizing R/G ratio and R/L ratio to identify the painted situation of growth and development stage Apple is provided.
The present invention's technical scheme that adopts of dealing with problems is: the image that utilizes digital camera to take pictures to obtain Apple, recycling Photoshop6.0 software is processed image, the R value (redness), G value (green), the B value (blueness) that obtain describing the L value of fruit brightness and describe fruit color.Because the Apple color relates generally to redness and green, therefore do not consider the B value.Because the impact of the illumination condition of R value, the tested timing of G value, same fruit measurement result difference of different time in a day is large, is difficult to directly be used for representing fruit color.In order to eliminate the different impact of different time illumination condition in a day, can carry out at any time so that measure, can also can carry out in the field indoor, we propose with R/G ratio, R/L ratio, G/L more painted than value representation Apple, R/G ratio is offset different light on the impact of R value and G value, R/L ratio is offset different light on the impact of R value and L value, G/L ratio is offset different light on the impact of G value and L value.Because G/L ratio does not relate to the R value of describing the fruit redness, is not suitable in theory representing the fruit color situation.Experimental result shows that R/G ratio hour fruit is for green, fruit was red when R/G ratio was large, and its cut off value is that 1.12, R/G ratio is good more than or equal to 1.55 o'clock fruit colors, there are corresponding relation directly perceived in proof R/G ratio and Apple color, are feasible with R/G than value representation fruit color; R/L ratio hour fruit is green, fruit was red when R/L ratio was large, and its cut off value is that 1.14, R/L ratio is good more than or equal to 1.34 o'clock fruit colors, there are corresponding relation directly perceived in R/L ratio and Apple color, are feasible with R/L than value representation fruit color; G/L ratio can be used for representing the variation of the green composition of fruit.More painted than value representation Apple with R/G ratio and R/L all is that this paper proposes first, also is the key problem in technology of this method.R/G ratio and R/L ratio can be used for also representing that the growth and development stage fruit color relates generally to red and green grape, jujube, hawthorn, peach fruit color, and R/G ratio and R/L ratio hour fruit are green, and fruit was red when ratio was large.
The invention has the beneficial effects as follows: (1) the present invention newly finds out R/G ratio by experiment and there is corresponding relation directly perceived in the Apple color, can utilize this R/G ratio to identify the painted situation of growth and development stage Apple.(2) the present invention newly finds out R/L ratio and there is corresponding relation directly perceived in the Apple color by experiment, can utilize this R/L ratio to identify the painted situation of growth and development stage Apple.(3) the present invention can be used for carrying out the painted classification of Apple, for the Apple classification provides a kind of new method; (4) the present invention can use in the computer vision classification of Apple surface color, utilizes R/G ratio, R/L ratio to identify the color of each pixel of Apple surface image; (5) R/G ratio of the present invention and R/L ratio can be used for grape, jujube, hawthorn, the peach fruit color that expression growth and development stage fruit color relates generally to redness and green.
Description of drawings
Fig. 1 is image and the selected painted areas of fruit;
Fig. 2 is image and selection area of fruit;
Fig. 3 is image and selected rectangular area of fruit;
Fig. 4 is in apple puberty fruit color parameter L, R, G, R/G, R/L, G/L and fruit color proterties;
Embodiment
The present invention is further described below in conjunction with drawings and Examples.
The invention process step:
Step 1 is chosen fruit to be measured, utilizes digital camera to take pictures to obtain the image of fruit.
Step 2 imports computing machine with the image that obtains, available BMP form storage fruit image, and also available JPG form memory image is to save storage space and leaf image processing time.
Step 3 is opened Photoshop6.0 software and is carried out the processing of fruit image.At first, in Photoshop6.0 software, open the fruit image, as shown in Figure 1, utilize ' magic wand menu ' to choose whole fruit colors zone, select ' histogram ' option under ' image ' menu, select ' histogram ' option under ' image ' menu, obtain this regional histogram parameter L value 111.39, R value 172.03, G value 86.86 and B value 78.55.Can be calculated R/G ratio is that 1.98, R/L ratio is that 1.54, G/L ratio is 0.78.
Should be noted, should choose large as far as possible fruit color zone to strengthen its representativeness, it is best choosing whole fruit colors zone as above-mentioned utilization ' magic wand menu '.Sometimes use ' magic wand menu ' can not correctly choose the fruit color zone, as shown in Figure 2, also available ' lasso tool ' or ' polygonal lasso tool ' are chosen the roughly painted areas of fruit, select ' histogram ' option under ' image ' menu, obtain this regional histogram parameter L value 111.19, R value 173.48, G value 85.93 and B value 77.80.Can be calculated R/G ratio is that 2.02, R/L ratio is that 1.56, G/L ratio is 0.77.These three ratios are very approaching with the result who obtains with ' magic wand menu ', and its error is 2.0%, 1.3% and 1.3% only, show that the result that utilization ' lasso tool ' or ' polygonal lasso tool ' obtain can represent fruit color.
When sometimes only the representative position of fruit color being studied, can utilize ' rectangular marquee ', as shown in Figure 3, draw a rectangle in the fruit color zone, select ' histogram ' option under ' image ' menu, obtain histogram parameter L value 109.58, R value 175.45, G value 82.59 and the B value of this rectangular area.Can be calculated R/G ratio is that 2.12, R/L ratio is that 1.60, G/L ratio is 0.75.The resultant error that these three ratios and utilization ' magic wand menu ' obtain is respectively 7.1%, 3.9% and 3.8%, shows that result that usefulness ' rectangular marquee ' obtains represents the representativeness of whole fruit color poorer.Even so, in the situation that some fruit only carries out relatively, each mensuration is all chosen same area, utilizes ' rectangular marquee ' to obtain the result and carries out fruit color or feasible.
The results of measuring of different time fruit color in the table 1 one day
Step 4, the reappearance of the method for inspection.Take Fuji, big country's light, three apple varieties of state's light as the examination material, utilize Fujifilm Finepix F305EXR digital camera respectively on October 9th, 2012 9:00～9:37,13:03～13:07 and 15:32～15:34 in the field the same fruit of every kind is taken pictures, and win fruit and take back indoor second day 13:13～13:18 and take pictures.Then utilize the said method step to obtain its L value, R value, G value and B value, by calculate obtaining R/G ratio, R/L ratio and G/L ratio, check different time in a day is measured fruit on the tree of field and the indoor reappearance of method when having plucked fruit.
The result is as shown in table 1, same Fuji apple, same large Guoguang apple and same Guoguang apple, and variation is large between the L value that different time is measured in a day, R value, G value, each repetition of B value.Table 1 is the result also show, all there are corresponding relation directly perceived in R/G ratio, R/L ratio and G/L ratio with fruit color: R/G ratio be 0.97～1.02 o'clock fruit green, be that 1.18～1.69 o'clock fruits are red; R/L ratio be 1.03～1.08 o'clock fruits green, be that 1.17～1.42 o'clock fruits are red; G/L ratio be 1.03～1.11 o'clock fruits green, be that 0.84～0.99 o'clock fruit is red.
R value, G value and B value to three apple varieties are analyzed, the result is as shown in table 2, its error reaches respectively 12.62～16.73%, 11.38～17.08% and 12.26～20.80%, its coefficient of variation reaches respectively 16.76～24.15,15.42～23.58 and 17.53～28.37, illustrates that they neitherly can directly be used for representing fruit color.R/G ratio, R/L ratio and G/L ratio to three apple varieties are analyzed, the result is as shown in table 2, its error is respectively 1.25～2.14%, 0.74～1.61% and 0.76～2.73%, its coefficient of variation is respectively 1.00～3.06,1.06～2.06 and 0.85～3.67, little, the good reproducibility of variation between each repetition of these ratios is described, can be used for representing the Apple color.
Table 2 fruit color results of measuring is analyzed
Step 5, blue or green banana, Jin Shuai, loud, high-pitched sound are drawn, carbuncle, Xiu Shui, Qiao Najin, wished that light, state's light, big country's light, Fuji, Wo Jin, Red Star amount to 12 apple variety fruits and takes pictures, then utilize the said method step to obtain its L value, R value, G value and B value, by calculating R/G ratio, R/L ratio and G/L ratio, the relation of checking R/G ratio, R/L ratio, G/L ratio and fruit color of obtaining.
The result is as shown in table 3, and R/G ratio is 0.91～1.06 when fruit is green, and R/L ratio is 0.98～1.10, and G/L ratio is 1.03～1.07; R/G ratio is 1.22～2.65 when fruit is redness, and R/L ratio is 1.17～1.79, and G/L ratio is 0.68～0.95, illustrates that R/G ratio, R/L ratio and G/L ratio size all have corresponding relation directly perceived with fruit color.But do not relate to the R value of describing the fruit redness in view of G/L ratio, be not suitable in theory representing the fruit color situation, therefore should select to adopt R/G ratio or R/L than value representation Apple color, wherein R/G is larger than the fruit color scope of value representation.
We are also noted that, in the table 3 R/G ratio be 1.55 or R/L ratio be that 1.34 carbuncle Apple is painted more satisfactory, R/G ratio be 1.55 or R/L ratio be that 1.37 Fuji apple fruit color is also more satisfactory, and R/G ratio be 1.40 or R/L ratio be that 1.27 Fuji apple fruit color is still undesirable.
The result of consolidated statement 1 and table 3, with R/G than value representation Apple color: R/G ratio is green less than or equal to 1.06 o'clock fruits, and ratio be red more than or equal to 1.18 o'clock fruits, take its mean value as cut off value then the cut off value of green and redness as 1.12; With R/L than value representation Apple color: R/L ratio is green less than or equal to 1.10 o'clock fruits, and ratio be red more than or equal to 1.17 o'clock fruits, take its mean value as cut off value then the cut off value of green and redness as 1.14.
The results of measuring of table 3 different cultivars Apple color
Embodiment 1: utilize the present invention to study Apple in budding painted variation
Step 1 take an Apple as the examination material, utilizes digital camera respectively on August 28th, 2012, September 8, September 11, September 17, September 22 and September 29 same fruit being taken pictures.
Step 2 imports computing machine with the image that obtains.
Step 3 is opened Photoshop6.0 software and is carried out the processing of fruit image.At first, in Photoshop6.0 software, open the fruit image, utilize ' rectangular marquee ' to choose the fruit color zone, then utilize the said method step to obtain its histogram parameter L value, R value, G value and B value, obtain R/G ratio, R/L ratio and G/L ratio by calculating.
Step 4, check the method represents the feasibility of the painted variation of fruit development period.The result changes all without evident regularity in the L of the same Apple of fruit development period value, R value and G value as shown in Figure 4, the neither disconnected increase of R/G ratio and R/L ratio before September 22, and R/G ratio and R/L ratio all diminish after September 22.R/G ratio and R/L ratio constantly become large before September 22, and fruit color also constantly increases deeply, proves that R/G ratio and R/L ratio all have corresponding relation directly perceived with fruit color, all can be used to represent the Apple change color.
Fig. 4 result also shows, G/L ratio constantly diminishes before September 22, and G/L ratio slightly increases after September 22.Because G/L ratio does not relate to the R value of describing the fruit redness, is not suitable in theory representing the fruit color situation.Although fruit is light red or redness among Fig. 4, what its G/L ratio represented should be the green composition of fruit, so G/L ratio can be used for representing the variation of the green composition of fruit.
We notice, among Fig. 4 R/G ratio be 1.33 or R/L ratio be that 1.27 o'clock fruit colors are still undesirable, R/G ratio reach 1.85 or R/L ratio reach 1.49 rear fruits and be desirable vivid redness.
In view of R/G ratio among Fig. 4 is 1.33, R/L ratio is that 1.27 fruit color is still undesirable, R/G ratio reaches 1.85, R/L ratio reaches 1.49 fruit and is desirable vivid redness, R/G ratio is 1.55 in the table 3, R/L ratio is that 1.34 carbuncle Apple is painted more satisfactory, R/G ratio is 1.55, R/L ratio is that 1.37 Fuji apple fruit color is also more satisfactory, and R/G ratio is 1.40, R/L ratio is that 1.27 Apple is painted still undesirable.Therefore, available R/G ratio more than or equal to 1.55, R/L ratio more than or equal to 1.34 as the painted desirable index of Apple.
Embodiment 2: utilize the present invention to identify the painted situation of Apple
Step 1 is chosen fruit to be measured, utilizes digital camera to take pictures to obtain the image of fruit.
Step 2 imports computing machine with the image that obtains.
Step 3 is opened Photoshop6.0 software and is carried out the processing of fruit image.At first, in Photoshop6.0 software, open the fruit image, utilize ' magic wand menu ' to choose whole fruit colors zone, obtain this regional histogram parameter L value 111.39, R value 172.03, G value 86.86 and B value 78.55.Can be calculated R/G ratio is that 1.98, R/L ratio is that 1.54, G/L ratio is 0.78.
Step 4 identifies that Apple is painted.Greater than 1.18 as can be known, fruit is red according to R/G ratio; Greater than 1.17 as can be known, fruit is red according to R/L ratio; Greater than 1.55 as can be known, fruit color is desirable according to R/G ratio; Greater than 1.34 as can be known, fruit color is desirable according to R/L ratio.
Claims (4)
1. the painted R/G ratio of Apple is described, it is characterized in that: the image that utilizes digital camera to take pictures to obtain Apple, utilize software image to be processed the G value that can obtain describing the R value of fruit redness and describe the fruit green, there are corresponding relation directly perceived in R/G ratio and fruit color, R/G ratio hour fruit is green, fruit was red when R/G ratio was large, its cut off value is 1.12, R/G ratio is good more than or equal to 1.55 o'clock fruit colors, utilizes this R/G ratio can identify the painted situation of growth and development stage Apple.
2. the painted R/L ratio of Apple is described, it is characterized in that: the image that utilizes digital camera to take pictures to obtain Apple, utilize software image to be processed the L value that can obtain describing the R value of fruit redness and describe fruit brightness, there are corresponding relation directly perceived in R/L ratio and fruit color, R/L ratio hour fruit is green, fruit was red when R/L ratio was large, its cut off value is 1.14, R/L ratio is good more than or equal to 1.34 o'clock fruit colors, utilizes this R/G ratio can identify the painted situation of growth and development stage Apple.
3. R/G ratio according to claim 1 or R/L ratio according to claim 2 is characterized in that: can be used for carrying out the painted classification of Apple, for the Apple classification provides a kind of new method; Can in the computer vision classification of Apple surface color, use, utilize R/G ratio or R/L ratio to identify the color of each pixel of Apple surface image.
4. R/G ratio, the R/L ratio of fruit color are described, it is characterized in that: can be used for representing that the long puberty fruit color of dirt relates generally to red and green grape, jujube, hawthorn, peach fruit color, R/G ratio and R/L ratio hour fruit are green, and fruit was red when ratio was large.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013100073690A CN103063309A (en) | 2013-01-10 | 2013-01-10 | Method for testing fruit coloring of apple by digital camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013100073690A CN103063309A (en) | 2013-01-10 | 2013-01-10 | Method for testing fruit coloring of apple by digital camera |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103063309A true CN103063309A (en) | 2013-04-24 |
Family
ID=48106029
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013100073690A Pending CN103063309A (en) | 2013-01-10 | 2013-01-10 | Method for testing fruit coloring of apple by digital camera |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103063309A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103913124A (en) * | 2014-03-18 | 2014-07-09 | 北京农业信息技术研究中心 | Automatic monitoring system and method for fruit appearance quality |
| CN107016343A (en) * | 2017-03-06 | 2017-08-04 | 西安交通大学 | A kind of traffic lights method for quickly identifying based on Bel's format-pattern |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090081339A1 (en) * | 2007-09-24 | 2009-03-26 | Tropicana Products, Inc. | Method for producing juice having pre-selected properties and characteristics |
| CN101701848A (en) * | 2009-11-16 | 2010-05-05 | 杨震峰 | Classification method of color and quality level of broccoli |
-
2013
- 2013-01-10 CN CN2013100073690A patent/CN103063309A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090081339A1 (en) * | 2007-09-24 | 2009-03-26 | Tropicana Products, Inc. | Method for producing juice having pre-selected properties and characteristics |
| CN101701848A (en) * | 2009-11-16 | 2010-05-05 | 杨震峰 | Classification method of color and quality level of broccoli |
Non-Patent Citations (2)
| Title |
|---|
| 李猛等: "陕西地区红富士苹果冠层果实品质差异及相关性分析", 《果树学报》 * |
| 蒋焕煜等: "基于双目立体视觉技术的成熟番茄识别与定位", 《农业工程学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103913124A (en) * | 2014-03-18 | 2014-07-09 | 北京农业信息技术研究中心 | Automatic monitoring system and method for fruit appearance quality |
| CN107016343A (en) * | 2017-03-06 | 2017-08-04 | 西安交通大学 | A kind of traffic lights method for quickly identifying based on Bel's format-pattern |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106841052B (en) | A kind of method and system of quick detection meat freshness | |
| CN102721651A (en) | Detection method and system of water content in plant leaf based on multispectral image | |
| CN108010024A (en) | It is a kind of blind with reference to tone mapping graph image quality evaluation method | |
| CN105651713A (en) | Quantitative determination method for chlorophyll of green vegetable leaves based on computer image analysis | |
| CN109118548A (en) | A kind of comprehensive intelligent water quality recognition methods | |
| CN104614321A (en) | Real-time crop growth condition monitoring method based on spectrum images | |
| CN109827957A (en) | A kind of rice leaf SPAD value estimating and measuring method based on computer vision and system | |
| Guo et al. | The foundation of a color-chip evaluation system of jadeite-jade green with color difference control of medical device | |
| CN109540894A (en) | A kind of lossless rapid detection method of cured tobacco leaf maturity | |
| CN113570538B (en) | Blade RGB image bias distribution parameter information acquisition and analysis method | |
| CN116519693A (en) | Quantitative measurement method for Hetian jade color | |
| CN206413117U (en) | Image measurement colour table | |
| CN103063309A (en) | Method for testing fruit coloring of apple by digital camera | |
| CN105606610A (en) | Bio-speckle technology based method for nondestructive detection of apple internal quality | |
| CN110044485A (en) | A kind of image-type fabric color measurement method | |
| CN102735340A (en) | Fruit color grading method based on compressive sensing | |
| CN111272673A (en) | Non-pure-color cloth color difference detection system and detection method | |
| Portalés et al. | An image-based system to preliminary assess the quality of grape harvest batches on arrival at the winery | |
| CN106485257A (en) | The washing detergency objective evaluation device and method that view-based access control model is perceived | |
| Carvalho et al. | Yarn parameterization and fabrics prediction using image processing | |
| CN109342430A (en) | A kind of measuring method of silkwood surface spun gold coverage rate | |
| CN104720813A (en) | Obtaining method of standard color atla for representing complexion and application of obtaining method | |
| CN103927544A (en) | Machine vision grading method for ginned cotton rolling quality | |
| CN207923290U (en) | A kind of color of gemstones measuring system | |
| CN109100311B (en) | Strawberry maturity rapid identification method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130424 |