期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2012
卷号：3
期号：2
页码：257-263
出版社：IJECCE
摘要：The rapid development in computer technology for multimedia databases, digital media results in increase in the usage of digital images. Vast amount of data can be hidden in the form of digitized image. Image mining is used to extract such kind of data and potential information from general collections of images. Image Clustering groups the images into classes of similar images without prior knowledge. CBIR has extensive potential applications. Visual content of still images are used by CBIR to search for similar images in large scale. Thus the search for the relevant information in the large space of image and video databases become more challenging and interesting too. This paper discuss the concept of image clustering by self-organizing map (SOM) using the contents color and texture as image features for improving user interaction with image retrieval systems . The visual content of an image is analyzed in terms of low-level features extracted from the image. For color feature extraction, HSV color model and texture Gabor filter is presented.
关键词：Artificial neural network; Self-Organizing Map; color; color feature extraction; color histogram; HSV color model; Gabor Filter; texture
