期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2012
卷号：5
期号：3
出版社：SERSC
摘要：The computer vision techniques are required for the identification of leafy vegetables for the development of veggie vision applications. This paper presents the mean and range color features based identification of leafy vegetables. Initially, a total of 18 RGB and HSI color features are chosen. A reverse engineering process is adopted for reduction of features. Finally 12 mean and range features of RGB and HSI color features are selected based on the performance. A BPNN based classifier is used for identification of vegetables. The identification rate is in the range 92-100% for ten types of vegetables. The work finds applications in automatic vending, packing and grading of vegetables, food preparation and the like.
关键词：Vegetable;Identification;Color;features;Neural;Networks;Agricultural/horticultural produce
