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Color, texture and shape information have been the primitive image descriptors in content based image retrieval systems. Content-Based Visual Image Retrieval (CBVIR) is the method for identify the similarity between the content of query image and database image. Image Contents plays an important role in image retrieval .The 'Contents' might refer to colors, shapes, textures, or any other information that can be derived from the image itself. An innovative field was born in the 90's is called Content-based Image Retrieval. Its aim at indexing and retrieving images from image database based on their visual contents similarity measures, tend to be domain-specific.
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