文章基本信息

标题：Content-Based Image Retrieval Using Texture Color Shape and Region
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作者：Syed Hamad Shirazi ; Arif Iqbal Umar ; Saeeda Naz 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2016
卷号：7
期号：1
DOI：10.14569/IJACSA.2016.070156
出版社：Science and Information Society (SAI)
摘要：Interests to accurately retrieve required images from databases of digital images are growing day by day. Images are represented by certain features to facilitate accurate retrieval of the required images. These features include Texture, Color, Shape and Region. It is a hot research area and researchers have developed many techniques to use these feature for accurate retrieval of required images from the databases. In this paper we present a literature survey of the Content Based Image Retrieval (CBIR) techniques based on Texture, Color, Shape and Region. We also review some of the state of the art tools developed for CBIR.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; CBIR; Color Space; Relevance Feedback; Texture Features; Shape; Color