文章基本信息

标题：Adulteration Identification of Papaya Seeds in Black Pepper Using Digital Image Processing
本地全文：下载
作者：B.Saritha ; G.Gokila ; A.Gokul priya 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：4746
DOI：10.15680/IJIRCCE.2017.0503204
出版社：S&S Publications
摘要：The major problem in food products like cereals, spices, grains, etc are adulterated with many unwantedmaterials like stones, weeds and low quality substances, which are harmful to the consumers. Such malpractices canyield very good margin to the sellers whereas the buyers and the customers get affected. The proposed system can beeasily monitored by using a novel digital image processing technique to overcome the manual analysis by humanvision. The images are captured using a normal digital camera. The pre-processing technique is used to remove noisesand image features like contrast, shape and texture of the seeds are taken for analyzing the adulteration of papaya seedsmixed with black pepper. The set of features contains noisy or irrelevant information so the most suitable features areidentified for accurate classification. The selected features are classified using k-NN classifier. The proposed method isimplemented in MATLAB software.
关键词：Adulteration; Digital image; Pre-processing; Feature Extraction; k-NN Classifier