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Content Based Image Retrieval (Cbir): Review And Challenges

Authors: Nitisha Soni, M.Tech. (IT) Scholar* & Latika Pinjarkar, Sr. Associate Professor (IT);

Content Based Image Retrieval (Cbir): Review And Challenges

Abstract

Content based image retrieval (CBIR) from large resources has become an area of wide interest nowadays in many applications. CBIR is very useful in several applications such as medical imaging, modern diagnosis, remote sensing and satellite imaging. The different types of images are subjected to set of operations used as constituent stages of CBIR. The method was initially used in 1990s and it is an image retrieval method using image vision contents such as color, texture, shape, spatial relationship, not using image notation to search images.Satellite imagery has become an important part of our information source. The amount of high resolution satellite imagery is growing rapidly, and much of it is now available to the public through various map services, such as Google Maps, etc.

Keywords

CBIR, digital image, feature, content, retrieval etc.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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