Abstract
Content-based image retrieval involves extraction of global and region features for searching an image from the database. This chapter provides an introduction to content-based image retrieval according to region-based similarity known as region-based image retrieval (RBIR). Regions of interest from an image can be selected automatically by the system or can be specified by the user. It increases the accuracy of the retrieval results as regions of interests are capable of reflecting user-specific interest with greater accuracy. However, success of automatic selection of region of interest-based methods largely depends on the segmentation technique used. In this chapter, state-of-the-art techniques for region-based image retrieval are discussed.
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