Journal Paper

Paper Title - Image Retrieval Based On Texture- A Survey


Abstract
As there are increasing more number of digital images on internet, there is problem in retrieving more similar images from database on internet. So the content based image retrieval (CBIR) system becoming more popular for extracting & browsing more similar images from large image database. CBIR uses visual features of image such as colour, shape, texture, etc. to retrieve required image from image database. In this paper we present a literature survey of the Colour Image Retrieval Technique based on Texture. Keywords— Content-Based Image Retrieval (CBIR), Texture, Gray-level co-occurrence matrix (GLCM), Colour histogram, Image Retrieval Precision value (IRP).


Author - Swati Sonawane, V. S. Patil

Citation - Swati Sonawane   ,   V. S. Patil   ,   Swati Sonawane, V. S. Patil " Image Retrieval Based On Texture- A Survey " , International Journal of Industrial Electronics and Electrical Engineering , Volume-4,Issue-7  ( Jul, 2016 )

Indexed - Google Scholar


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| Published on 2016-08-12