文章基本信息

标题：Detection of Maturity Level and Disease in Tomato Using Discriminative Clustering Method
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作者：A.Stephen Sagayaraj ; C.Kalaiarasan ; S.Gokulnath 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：4771
DOI：10.15680/IJIRCCE.2017.0503208
出版社：S&S Publications
摘要：In India, tomato buyers are almost around 10-20million on consistently. The farming is highlylabor focused and offers more employment all over India. After the cultivation, tomato are mainly classified by threetype’s maturity level such as unripe, ripe and over ripped. It places a major role in food product. The proposed ideais to analyses the maturity level and diseases of tomato using digital image processing, discriminative clustering.Thedifferent diseased and healthy tomato images are collected from various agriculture farms by using high resolutioncamera. The image is preprocessed by using Gaussian filter, median filter and linear filter to eliminate the noises.The image is segmented using discriminative clustering method and GLCM feature is used to extract the feature fordetection of maturity level and diseases in tomato.
关键词：Tomato images; Discriminative Clustering based segmentation; PAC and GLCM