文章基本信息

标题：Experiments of Distance Measurements in a Foliage Plant Retrieval System
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作者：Abdul Kadir ; Lukito Edi Nugroho ; Adhi Susanto 等
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：2
出版社：SERSC
摘要：One of important components in an image retrieval system is selecting a distance measure to compute rank between two objects. In this paper, several distance measures were researched to implement a foliage plant retrieval system. Sixty kinds of foliage plants with various leaf color and shape were used to test the performance of 7 different kinds of distance measures: city block distance, Euclidean distance, Canberra distance, Bray-Curtis distance, 2 statistics, Jensen Shannon divergence and Kullback Leibler divergence. The results show that city block and Euclidean distance measures gave the best performance among the others.
关键词：Distance Measure; Retrieval system; City block distance; Euclidean distance