Content based Image Retrieval using Colour and Texture

Surekha Tadse and A. S. Khobragade

G. H. Raisoni College of Engineering, Hingna Road, Nagpur.


Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. This paper outlines a description of the primitive features of an image, texture and colour. These features are extracted and used as the basis for a similarity check between images. The algorithms used to calculate the similarity between extracted features, are then explained. The final result was a Matlab built software application, with an image database, that utilized texture and colour features of the images in the database as the basis of comparison and retrieval.

Keywords: Colour, Texture, Colour histograms.

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