{"title":"数字成像系统在食品分析中的比色法","authors":"Mousumi Sabat, Pramod Shelake, Nachiket Kotwaliwale","doi":"10.1111/cote.12813","DOIUrl":null,"url":null,"abstract":"<p>A non-destructive, user-friendly, portable colour measurement system was developed using the MATLAB interface that gives acceptable results with any imaging sensor. Digital images captured by the imaging sensor were used to obtain quantitative colour information in three formats, namely, RGB, XYZ and CIELAB. The zoom-in feature is useful for obtaining detailed colour features of the image, while cropping of the region of interest aids in reducing the image matrix and, ultimately, the computational power required. Quantitative information on the colour value of the product (both average and region to region) can be obtained in all three formats (i.e., RGB, XYZ and CIELAB). It also gives the three closest Royal Horticultural Society (RHS) values of the product. The accuracy of the measurement system was first validated against a standard colour chart then it was tested using three image sensors of different configurations. Coefficient of determination (<i>R</i><sup>2</sup>) and root mean square error values of 0.983 and 3.391 for <i>L</i>*, 0.994 and 1.851 for <i>a</i>* and 0.996 and 2.042 for <i>b</i>*, respectively, were obtained during performance evaluation. Similarly, when different imaging sensors were used for colour determination, the colour values showed no significant variation for all tested samples (i.e., various fruits and vegetables of different chroma/hues).</p>","PeriodicalId":10502,"journal":{"name":"Coloration Technology","volume":"141 5","pages":"731-739"},"PeriodicalIF":2.2000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Colorimetry in food analysis using digital imaging system\",\"authors\":\"Mousumi Sabat, Pramod Shelake, Nachiket Kotwaliwale\",\"doi\":\"10.1111/cote.12813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A non-destructive, user-friendly, portable colour measurement system was developed using the MATLAB interface that gives acceptable results with any imaging sensor. Digital images captured by the imaging sensor were used to obtain quantitative colour information in three formats, namely, RGB, XYZ and CIELAB. The zoom-in feature is useful for obtaining detailed colour features of the image, while cropping of the region of interest aids in reducing the image matrix and, ultimately, the computational power required. Quantitative information on the colour value of the product (both average and region to region) can be obtained in all three formats (i.e., RGB, XYZ and CIELAB). It also gives the three closest Royal Horticultural Society (RHS) values of the product. The accuracy of the measurement system was first validated against a standard colour chart then it was tested using three image sensors of different configurations. Coefficient of determination (<i>R</i><sup>2</sup>) and root mean square error values of 0.983 and 3.391 for <i>L</i>*, 0.994 and 1.851 for <i>a</i>* and 0.996 and 2.042 for <i>b</i>*, respectively, were obtained during performance evaluation. Similarly, when different imaging sensors were used for colour determination, the colour values showed no significant variation for all tested samples (i.e., various fruits and vegetables of different chroma/hues).</p>\",\"PeriodicalId\":10502,\"journal\":{\"name\":\"Coloration Technology\",\"volume\":\"141 5\",\"pages\":\"731-739\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-02-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Coloration Technology\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cote.12813\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Coloration Technology","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cote.12813","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
Colorimetry in food analysis using digital imaging system
A non-destructive, user-friendly, portable colour measurement system was developed using the MATLAB interface that gives acceptable results with any imaging sensor. Digital images captured by the imaging sensor were used to obtain quantitative colour information in three formats, namely, RGB, XYZ and CIELAB. The zoom-in feature is useful for obtaining detailed colour features of the image, while cropping of the region of interest aids in reducing the image matrix and, ultimately, the computational power required. Quantitative information on the colour value of the product (both average and region to region) can be obtained in all three formats (i.e., RGB, XYZ and CIELAB). It also gives the three closest Royal Horticultural Society (RHS) values of the product. The accuracy of the measurement system was first validated against a standard colour chart then it was tested using three image sensors of different configurations. Coefficient of determination (R2) and root mean square error values of 0.983 and 3.391 for L*, 0.994 and 1.851 for a* and 0.996 and 2.042 for b*, respectively, were obtained during performance evaluation. Similarly, when different imaging sensors were used for colour determination, the colour values showed no significant variation for all tested samples (i.e., various fruits and vegetables of different chroma/hues).
期刊介绍:
The primary mission of Coloration Technology is to promote innovation and fundamental understanding in the science and technology of coloured materials by providing a medium for communication of peer-reviewed research papers of the highest quality. It is internationally recognised as a vehicle for the publication of theoretical and technological papers on the subjects allied to all aspects of coloration. Regular sections in the journal include reviews, original research and reports, feature articles, short communications and book reviews.