文章基本信息

标题：A Praposed Method for Image Retrieval using Histogram Values and Texture Descriptor Analysis
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作者：Wasim Khan ; Shiv Kumar ; Neetesh Gupta 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2011
卷号：1
期号：2
页码：33-36
出版社：International Journal of Soft Computing & Engineering
摘要：Color and Texture information have been the primitive image descriptors in content based image retrieval systems. In this article, a method is proposed for image mining based on analysis of color Histogram values and texture descriptor of an image. For this purpose, three functions are used for texture descriptor analysis such as entropy, local range and standard deviation. To extract the color properties of an image, histogram values are used. The combination of the color and texture features of the image provides a robust feature set for image retrieval.
关键词：content-based image retrieval; color histogram;image texture.