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：1
页码：43-46
出版社：International Journal of Soft Computing & Engineering
摘要：In this article, a method is proposed for image mining based on analysis of color and texture properties of an image. Color and texture are the primitive image descriptors in content based image retrieval systems. We first resize all the database images to obtained similar space. For color based Image Retrieval, HSV color model is used to obtain color histogram of image and for texture extraction Haar wavelet transform is used. Then the proposed method evaluates different number of signatures for HSV and wavelet coefficients. Similar process is applied on the submitted query image. Finally Euclidian distance between query image and database images is calculated and the images having minimum distances are extracted from the database as results.
关键词：Color histogram; Content-based image retrieval;Euclidian distance; Haar wavelet transform. HSV model
