食品与机械2016，Vol.32Issue(12)：133-136,4.DOI:10.13652/j.issn.1003-5788.2016.12.029
基于机器视觉的番茄成熟度颜色判别
Tomato maturity color discrimination based on machine vision
摘要
Abstract
Tomato quality is one of the most important factors ensured the consistency of tomato market factors.A color analysis method was proposed for classifying the fresh tomato,with reference to the national standard GB 8852—88,defining the classification standards of tomato maturity.In this study,tomato was divided into the four categories,full ripe,ripe,half ripe,and green ripe.RGB images of tomato were collected,removing the background and filtering de-noi-sing,and then they were converted to HIS and HSV color models. Through the MATLAB programming,the mean values of the color components R,G,B,H,S,V,and I were obtained,and the deter-mination and selection of combination components were carried on u-sing SPSS software.Moreover,the discriminant analyses were then performed using Matlab.The results showed that the identification rates of the green ripe and validation sets were the best of all the three different discriminant functions,reached 100.00%,and the highest discrimination rates of half ripe tomato set was 94.74%. However,the identification rates of training and validation sets of ripe tomato were the lowest,identified as 76.67% and 70.00%,re-spectively.Those of the training and validation sets of full ripe were the highest,about 90.00%.In general,the discrimination and classi-fication of tomato with different maturity were realized using the ma-chine recognition system in the present study.关键词
机器视觉/番茄/成熟度/颜色分量均值/判别分析Key words
machine vision/tomato/maturity/the mean color compo-nent/discriminant analysis引用本文复制引用
毕智健,张若宇,齐妍杰,吴业北..基于机器视觉的番茄成熟度颜色判别[J].食品与机械,2016,32(12):133-136,4.基金项目
国家自然基金项目(编号:61565016) （编号:61565016）
兵团国际合作项目(编号:2015AH003) （编号:2015AH003）
