期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：8
页码：7680-7684
出版社：IJECS
摘要：With the widespread of the network and development of Image technology, the older information retrieval techniques do notmeet today’s demand. Recently, the content-based image retrieval has become the most developing topic and the techniques of contentbasedimage retrieval have acquired great attention. In this paper, the basic components of content-based image retrieval system arediscussed. Image retrieval methods based on color, texture, shape and semantic image are studied discussed and compared. Otherrelated techniques such as relevance feedback and performance evaluation are also discussed. In the end of paper the problems andchallenges are fetched out of each available technique. In recent areas of commerce, government, academics, and hospitals, largecollections of digital images are being created and stored. Large amount of the digital image collections are the product ofdigitalizing existing collections of hardcopy photographs, diagrams, drawings, paintings, and prints. Usually, the only way ofsearching these collections was by keyword indexing, or simply by browsing related words. Digital image database however, open theway to content-based searching. In this paper we review some technical aspects of current content-based image retrieval systems
