CN104931433A - CIELAB color space based method for determining apple color - Google Patents

CIELAB color space based method for determining apple color Download PDF

Info

Publication number
CN104931433A
CN104931433A CN201510377554.8A CN201510377554A CN104931433A CN 104931433 A CN104931433 A CN 104931433A CN 201510377554 A CN201510377554 A CN 201510377554A CN 104931433 A CN104931433 A CN 104931433A
Authority
CN
China
Prior art keywords
color
fruit
value
apple
red
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
Application number
CN201510377554.8A
Other languages
Chinese (zh)
Inventor
孟蕊
王亚杰
赵政阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Northwest A&F University
Original Assignee
Northwest A&F University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Northwest A&F University filed Critical Northwest A&F University
Priority to CN201510377554.8A priority Critical patent/CN104931433A/en
Publication of CN104931433A publication Critical patent/CN104931433A/en
Pending legal-status Critical Current

Links

Landscapes

  • Spectrometry And Color Measurement (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention discloses a CIELAB color space based method for measuring apple color. The method is as below: combining issued apple color descriptors, determining and conducting statistics on the colors of varieties with typical colors, setting a grading method for fruit coloring area, background and color cover; acquiring L*, a* and b* values of fruits by the color difference meter measurement or image processing software, and calculating h DEG value; and then determining the coloring area, background color and color cover of the apple fruit, wherein the obtained values can directly reflect the darkness of color and trickle difference of the fruit, so as to realize comprehensive and objective evaluation of the fruit color. The method provided by the invention is more convenient and objective than the traditional sensory detection method, and can avoid subjective error generated by sensory detection as possible; and the instrument is used to quantify the fruit color, and is more accurate than the traditional sensory detection method; and the method can distinguish trickle difference of fruit surface color and can be used in areas such as apple fruit color breeding.

Description

A kind of Apple color measuring method based on CIELAB color space
Technical field
The present invention relates to a kind of Apple color measuring method, specifically a kind of Apple color measuring method based on CIELAB color space, belongs to fruit breeding field.
Background technology
Apple surface color and luster is the important indicator affecting apple commodity value.The color and luster of Apple is decided by background color and the Gai Se of fruit simultaneously.At present visual colorimetry, colour difference meter, photo handling software three kinds of approach are mainly relied on to the color measuring of Apple.Wherein visual colorimetry, according to existing fruit germplasm resource descriptor, mainly comprise " Fruit Tree Germplasm Resources descriptor-record project and evaluation criterion " that nineteen ninety edited by Fruit Institute, Chinese Academy of Agricultural Sciences, nineteen eighty-two International Plant Genetic Resources Institute, the associating European Community, the apple descriptor (AppleDescriptors) that United States Department of Agriculture etc. co-publicate, U.S. Germplasm Resources Information net (GRIN) the apple germplasm resources descriptors issued in 2007 and International Plant New variety protection tissue (UPOV) Variety of Apple Testing Guideline (the Apple Guidelines for the Conduct of Tests for Distinctness that issues in 1994, Uniformity and Stability) etc., fruit colour and standard color comparison card are contrasted, according to corresponding color measuring standard, method for measuring is carried out to fruit colour.Visual colorimetry, due to comparatively economical, is widely used in genetic breeding, germ plasm resource mensuration etc., but often accurate not, the description that can not quantize fruit colour, and is difficult to the impact getting rid of subjective factor and environmental baseline; And utilize the method that colour difference meter, photo handling software are measured fruit surface L*, a*, b* value, compare with visual colorimetry and possess objective, advantage easily.After CIELAB color space is promulgated by International Commission on Illumination, although be widely applied in multiple fields such as textile industries, but Apple color and luster is formed comparatively complicated, this assay method can not carry out intuitively, comprehensively describing to fruit colour, is difficult to be directly used in the fields such as fruit germplasm resource description, crossbreeding.Therefore, need to set up one comparatively objective, can be quantitative, and the method for Apple color and luster being carried out to comprehensive analysis can be realized.
Summary of the invention
The object of the invention is to for the comprehensive difference existing for existing Apple color measuring method, easily cause the problems such as error, and a kind of Apple color measuring method based on CIELAB color space is disclosed, the degree of depth that Apple is painted and nuance can be reflected intuitively.
The object of the invention is to be achieved by following steps:
A. the Apple germ plasm resource color and luster descriptor promulgated is combined, fruit color area is set, background color, the stage division of lid look and requirement arrange fruit color area, background color, the testing index of lid look, get the typical apple variety of color and luster, adopt colour difference meter or take pictures and add the method for image processing software, measure the L* of its uniform coloring part, a*, b* value, h ° of value is gone out by formulae discovery below, again according to the L* of the typical apple variety fruit of color and luster, a*, b*, h ° of value arranges fruit background color, the L* that lid look corresponding, a*, b*, h ° of value scope, i.e. fruit background color, lid look stage division,
h°=tan -1(b*/a*)
Work as a*<0, during b*>0, h °=180 °+tan -1(b*/a*)
B. colour difference meter is adopted evenly to choose five points at the Apple equatorial plane, fruit surface L*, a*, b* value is measured, or under certain light condition, five groups of photos are taken continuously to the Apple equatorial plane, utilized by pictorial information LAB in image processing software Photoshop, Advanced Color Tool or Artizen ZE to measure system and obtain fruit surface L*, a*, b* value;
C. measuring fruit color area, is namely that positive number percent carries out classification to fruit color area according to a* value in five class values;
D. measure fruit background color, concrete grammar is: if a* value is just all in five groups of data, be then shown as overall tint, background color can not judge; When five groups of data have a* value to be negative situation, ask for a* value for bear the mean value of L*, a*, b* value a little, calculate h ° of value, then judge this fruit background color according to L*, a*, b*, h ° of value of correspondence;
E. measure fruit background color, concrete grammar is: if a* value is all negative in five groups of data, then it is not painted to be shown as fruit, Gai Sewu; When five groups of data have a* value to be negative situation, ask for the mean value of a* value for positive L*, a*, b* value a little, calculate h ° of value, then judge this fruit lid look according to L*, a*, b*, h ° of value of correspondence;
The typical apple variety of color and luster described in above-mentioned a step, is characterized in that needing 6-10 name those of ordinary skill in the art to carry out sensory evaluation to its color and luster respectively, is as the criterion with the sensory evaluation suggestion of 3-5 name the above persons accreditation;
Apple color and luster parametric measurement method described in above-mentioned a, b step, it is characterized in that all photograph taking needs carry out under unified light condition, and photo disposal needs to select Photoshop, Advanced Color Tool or Artizen ZE image processing software.
The present invention's tool compared with existing detection method has the following advantages: utilize instrument to detect fruit surface color and luster, more more convenient, objective than traditional organoleptic detection method, thus the subjectivity error that can organoleptic detection avoided as far as possible to produce; And utilizing instrument to quantize fruit colour, the organoleptic detection method also than traditional is more accurate, can tell the nuance of fruit surface color and luster.
Embodiment
Below in conjunction with embodiment, the present invention is described further, but embodiment is not limited to the technical solution.Any those of ordinary skill in the art are in the technical scope that the present invention discloses, and be equal to according to the solution of the present invention and inventive concept thereof and replace or change, all should be encompassed in protection scope of the present invention, concrete detection method comprises the following steps:
A. the Apple germ plasm resource descriptor comprehensively promulgated, determine Apple color and luster descriptor, wherein fruit color area is divided into 0%-100%, fruit background color is divided into yellowish-white, green, pale green, yellowish green, yellow, yellowish, greenish-yellow seven kinds, fruit table look is divided into orange red, pink, red, dense red, purplish red, brown red six kinds, then utilize colour difference meter to the L* of the Reference variety fruit color typical parts that each descriptor is listed, a*, b* value measures, 300-1000 the typical different types of Apple of color and luster supplements in addition, supplementary kind must carry out sensory evaluation through 6-10 name those of ordinary skill in the art reference standard colorimetric card, and get the accreditation that result at least will obtain 3-5 name technician, according to the L* measured, a*, b* value utilizes formulae discovery to go out h ° of corresponding value, with brown red, the dense partial results such as red is example, its result is as shown in table 1 below:
Color and luster descriptor L* a* b* Reference variety
Brown red 45.21 10.08 16.54 29.32 Free kind
Brown red 42.61 21.18 12.61 15.39 Free kind
Brown red 47.25 12.11 18.26 28.22 Free kind
Brown red 44.08 14.97 18.14 25.23 Free kind
Brown red 35.99 21.95 11.55 13.88 Free kind
Brown red 45.44 19.01 15.86 19.92 Free kind
Brown red 42.59 20.79 15.36 18.23 Free kind
Brown red 41.28 24.80 13.81 14.56 Free kind
Brown red 45.43 22.72 17.49 18.79 Free kind
Brown red 46.89 13.20 19.48 27.94 Free kind
Brown red 46.20 21.14 18.42 20.53 Free kind
Brown red 45.51 20.66 18.58 20.98 Free kind
Dense red 34.29 24.63 8.45 9.47 Free kind
Dense red 30.94 26.48 9.48 9.85 Free kind
Dense red 33.26 26.67 10.18 10.45 Free kind
Dense red 34.72 27.44 10.22 10.21 Free kind
Dense red 30.64 24.42 9.38 10.51 Cockscomb
Dense red 31.18 28.35 9.71 9.45 Cockscomb
Red 36.11 27.30 12.35 12.17 Free kind
Purplish red 27.24 18.75 5.22 7.78 Free kind
Purplish red 29.30 27.45 8.17 8.29 Free kind
Dense red 34.33 24.55 9.76 10.84 Free kind
Dense red 30.72 23.94 9.17 10.48 Red Star
According to the statistics to known color and luster kind fruit colour parameter, analysis, draw and it is as shown in table 2 below that Apple background color stage division is set the color and luster parameter area that each descriptor of Apple color and luster is corresponding:
According to the statistics to known color and luster kind fruit colour parameter, analysis, draw the color and luster parameter area that each descriptor of Apple color and luster is corresponding, it is as shown in table 3 below that Apple lid look stage division is set:
B. get magic flute Apple during maturation, adopt colour difference meter evenly to choose five points at its equatorial plane, measure fruit surface L*, a*, b* value, measurement result is as shown in table 4 below:
L* a* b*
28.74 35.85 9.25
27.51 35.98 10.11
26.98 37.12 10.97
26.59 36.89 10.58
26.96 36.58 10.21
C. measure fruit color area, in these five groups of numerical value, a* is positive number is 5, and proportion is 100%, can judge that this fruit color area is 100%;
D. measure fruit background color, in these five groups of data, none group a* value is negative as shown in Table 4, then can judge this fruit overall tint, background color cannot judge;
E. fruit lid look is measured, have five groups of a* values to be just as shown in Table 4 in these five groups of data, first try to achieve the average of these five some L*, a*, b* values: 27.16,36.48,10.22, then calculate h ° of value thus: 7.83 °, then contrast with table 3 Plays, this fruit lid look known is aubergine.

Claims (4)

1., based on an Apple color measuring method for CIELAB color space, it is characterized in that being achieved by following steps:
A. the Apple germ plasm resource color and luster descriptor promulgated is combined, fruit color area is set, background color, the stage division of lid look and requirement arrange fruit color area, background color, the testing index of lid look, get the typical apple variety of color and luster, adopt colour difference meter or take pictures and add the method for image processing software, measure the L* of its uniform coloring part, a*, b* value, h ° of value is gone out by formulae discovery below, again according to the L* of the typical apple variety fruit of color and luster, a*, b*, h ° of value arranges fruit background color, the L* that lid look corresponding, a*, b*, h ° of value scope, i.e. fruit background color, lid look stage division,
h°=tan -1(b*/a*)
Work as a*<0, during b*>0, h °=180 °+tan -1(b*/a*)
B. colour difference meter is adopted evenly to choose five points at the Apple equatorial plane, fruit surface L*, a*, b* value is measured, or under certain light condition, five groups of photos are taken continuously to the Apple equatorial plane, utilized by pictorial information LAB in image processing software Photoshop, Advanced Color Tool or Artizen ZE to measure system and obtain fruit surface L*, a*, b* value;
C. measuring fruit color area, is namely that positive number percent carries out classification to fruit color area according to a* value in five class values;
D. measure fruit background color, concrete grammar is: if a* value is just all in five groups of data, be then shown as overall tint, background color can not judge; When five groups of data have a* value to be negative situation, ask for a* value for bear the mean value of L*, a*, b* value a little, calculate h ° of value, then judge this fruit background color according to L*, a*, b*, h ° of value of correspondence;
E. measure fruit background color, concrete grammar is: if a* value is all negative in five groups of data, then it is not painted to be shown as fruit, Gai Sewu; When five groups of data have a* value to be negative situation, ask for the mean value of a* value for positive L*, a*, b* value a little, calculate h ° of value, then judge this fruit lid look according to L*, a*, b*, h ° of value of correspondence.
2. a kind of Apple color measuring method based on CIELAB color space according to claim 1, it is characterized in that the typical apple variety of color and luster described in a step, need 6-10 name those of ordinary skill in the art to carry out sensory evaluation to its color and luster respectively, be as the criterion with the sensory evaluation suggestion of 3-5 name the above persons accreditation.
3. a kind of Apple color measuring method based on CIELAB color space according to claim 1, it is characterized in that the apple color and luster parametric measurement method described in a, b step, all photograph takings need to carry out under unified light condition, and photo disposal needs to select Photoshop, Advanced Color Tool or Artizen ZE image processing software.
4. a kind of Apple color measuring method based on CIELAB color space according to claim 1, is characterized in that concrete detection method comprises the following steps:
A. the Apple germ plasm resource descriptor comprehensively promulgated, determine Apple color and luster descriptor, wherein fruit color area is divided into 0%-100%, fruit background color is divided into yellowish-white, green, pale green, yellowish green, yellow, yellowish, greenish-yellow seven kinds, fruit table look is divided into orange red, pink, red, dense red, purplish red, brown red six kinds, then utilize colour difference meter to the L* of the Reference variety fruit color typical parts that each descriptor is listed, a*, b* value measures, 300-1000 the typical different types of Apple of color and luster supplements in addition, supplementary kind must carry out sensory evaluation through 6-10 name those of ordinary skill in the art reference standard colorimetric card, and get the accreditation that result at least will obtain 3-5 name technician, according to the L* measured, a*, b* value utilizes formulae discovery to go out h ° of corresponding value, with brown red, the dense partial results such as red is example, its result is as shown in table 1 below:
Color and luster descriptor L* a* b* Reference variety Brown red 45.21 10.08 16.54 29.32 Free kind Brown red 42.61 21.18 12.61 15.39 Free kind Brown red 47.25 12.11 18.26 28.22 Free kind
Brown red 44.08 14.97 18.14 25.23 Free kind Brown red 35.99 21.95 11.55 13.88 Free kind Brown red 45.44 19.01 15.86 19.92 Free kind Brown red 42.59 20.79 15.36 18.23 Free kind Brown red 41.28 24.80 13.81 14.56 Free kind Brown red 45.43 22.72 17.49 18.79 Free kind Brown red 46.89 13.20 19.48 27.94 Free kind Brown red 46.20 21.14 18.42 20.53 Free kind Brown red 45.51 20.66 18.58 20.98 Free kind Dense red 34.29 24.63 8.45 9.47 Free kind Dense red 30.94 26.48 9.48 9.85 Free kind Dense red 33.26 26.67 10.18 10.45 Free kind Dense red 34.72 27.44 10.22 10.21 Free kind Dense red 30.64 24.42 9.38 10.51 Cockscomb Dense red 31.18 28.35 9.71 9.45 Cockscomb Red 36.11 27.30 12.35 12.17 Free kind Purplish red 27.24 18.75 5.22 7.78 Free kind Purplish red 29.30 27.45 8.17 8.29 Free kind Dense red 34.33 24.55 9.76 10.84 Free kind Dense red 30.72 23.94 9.17 10.48 Red Star
According to the statistics to known color and luster kind fruit colour parameter, analysis, draw and it is as shown in table 2 below that Apple background color stage division is set the color and luster parameter area that each descriptor of Apple color and luster is corresponding:
According to the statistics to known color and luster kind fruit colour parameter, analysis, draw the color and luster parameter area that each descriptor of Apple color and luster is corresponding, it is as shown in table 3 below that Apple lid look stage division is set:
B. get magic flute Apple during maturation, adopt colour difference meter evenly to choose five points at its equatorial plane, measure fruit surface L*, a*, b* value, measurement result is as shown in table 4 below:
L* a* b* 28.74 35.85 9.25 27.51 35.98 10.11 26.98 37.12 10.97 26.59 36.89 10.58 26.96 36.58 10.21
C. measure fruit color area, in these five groups of numerical value, a* is positive number is 5, and proportion is 100%, can judge that this fruit color area is 100%;
D. measure fruit background color, in these five groups of data, none group a* value is negative as shown in Table 4, then can judge this fruit overall tint, background color cannot judge;
E. fruit lid look is measured, have five groups of a* values to be just as shown in Table 4 in these five groups of data, first try to achieve the average of these five some L*, a*, b* values: 27.16,36.48,10.22, then calculate h ° of value thus: 7.83 °, then contrast with table 3 Plays, this fruit lid look known is aubergine.
CN201510377554.8A 2015-07-01 2015-07-01 CIELAB color space based method for determining apple color Pending CN104931433A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510377554.8A CN104931433A (en) 2015-07-01 2015-07-01 CIELAB color space based method for determining apple color

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510377554.8A CN104931433A (en) 2015-07-01 2015-07-01 CIELAB color space based method for determining apple color

Publications (1)

Publication Number Publication Date
CN104931433A true CN104931433A (en) 2015-09-23

Family

ID=54118705

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510377554.8A Pending CN104931433A (en) 2015-07-01 2015-07-01 CIELAB color space based method for determining apple color

Country Status (1)

Country Link
CN (1) CN104931433A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107389564A (en) * 2017-07-26 2017-11-24 成都中医药大学 A kind of method for differentiating stir-baked RHIZOMA ATRACTYLDIS MACROCEPHALAE in bran and processing the duration and degree of heating

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1751812A (en) * 2005-10-13 2006-03-29 南京农业大学 Method for grading pork based on its color and quality
US20070139667A1 (en) * 2003-04-23 2007-06-21 Russell Scott O Digitally mapped formulaic color space and method of making and using same
CN101701848A (en) * 2009-11-16 2010-05-05 杨震峰 Classification method of color and quality level of broccoli

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070139667A1 (en) * 2003-04-23 2007-06-21 Russell Scott O Digitally mapped formulaic color space and method of making and using same
CN1751812A (en) * 2005-10-13 2006-03-29 南京农业大学 Method for grading pork based on its color and quality
CN101701848A (en) * 2009-11-16 2010-05-05 杨震峰 Classification method of color and quality level of broccoli

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
何东健: "果实表面颜色计算机视觉分级技术研究", 《农业工程学报》 *
张小军: "‘澳洲青苹’苹果套袋处理后果实着色相关基因的克隆及表达分析", 《中国博士学位论文全文数据库农业科技辑》 *
胡涛: "《计算机色彩原理及应用》", 30 September 2014 *
苑克俊: "利用数码相机测定苹果果实着色方法的研究", 《农业网络信息》 *
蒲富慎: "《果树种质资源描述符》", 30 November 1990 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107389564A (en) * 2017-07-26 2017-11-24 成都中医药大学 A kind of method for differentiating stir-baked RHIZOMA ATRACTYLDIS MACROCEPHALAE in bran and processing the duration and degree of heating

Similar Documents

Publication Publication Date Title
JP6942110B2 (en) Multi-dimensional contamination identification method for cooking oil based on near-infrared spectrometer
Leon et al. Color measurement in L∗ a∗ b∗ units from RGB digital images
US10969952B2 (en) Color and texture match ratings for optimal match selection
CN101701916A (en) Method for quickly identifying and distinguishing variety of corn
KR100238960B1 (en) Apparatus for chromatic vision measurement
US5150199A (en) Method for correlating color measuring scales
CN113109240B (en) Method and system for determining imperfect grains of grains implemented by computer
CN107727581B (en) Method for classifying colors of natural cotton
CN102749140A (en) Tobacco leaf surface color uniformity judging method of flue-cured tobacco
CN107703064B (en) Method for classifying colors of natural colored cotton
CN113189021A (en) Method for identifying rock color based on spectrum
CA3127899A1 (en) Process and apparatus for finding and adapting effect color formulations, incorporating comparison with the visual perception of texture qualities
CN104502306A (en) Near infrared spectrum wavelength selecting method based on variable significance
Park et al. Automated defect inspection systems by pattern recognition
CN114742137A (en) Illumination spectrum generation method, spectrum matching device, illumination spectrum generation equipment and medium
CN106226267B (en) A kind of near-infrared assay method of dry chili color value
CN104931433A (en) CIELAB color space based method for determining apple color
CN113838081A (en) Method and device for distinguishing color uniformity of flue-cured tobacco leaves based on machine vision
CN108197662A (en) A kind of solid wooden floor board sorting technique
CN105891130B (en) A method of the different spectral informations of correction determine material information error
CN101408460A (en) Color visual comparison measuring method based on digital color comparing card
Amookht et al. Effect of surface texture on color appearance of metallic coatings
CN116519693A (en) Quantitative measurement method for Hetian jade color
CN108362650A (en) Liquid coloration detection method and device
Osman et al. A statistical approach for rubber seed clones classification using reflectance index

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20150923