(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-3 Issue-13 December-2013
Full-Text PDF
Paper Title : Content Based Image Retrieval by Multi Features using Image Blocks
Author Name : Arpita Mathur, Rajeev Mathur
Abstract :

Content based image retrieval (CBIR) is an effective method of retrieving images from large image resources. CBIR is a technique in which images are indexed by extracting their low level features like, color, texture, shape, and spatial location, etc. Effective and efficient feature extraction mechanisms are required to improve existing CBIR performance. This paper presents a novel approach of CBIR system in which higher retrieval efficiency is achieved by combining the information of image features color, shape and texture. The color feature is extracted using color histogram for image blocks, for shape feature Canny edge detection algorithm is used and the HSB extraction in blocks is used for texture feature extraction. The feature set of the query image are compared with the feature set of each image in the database. The experiments show that the fusion of multiple features retrieval gives better retrieval results than another approach used by Rao et al. This paper presents comparative study of performance of the two different approaches of CBIR system in which the image features color, shape and texture are used.

Keywords : Content Based Image Retrieval, color histogram, Canny edge detection, Euclidian distance, HSV, HSB, texture, shape.
Cite this article : Arpita Mathur, Rajeev Mathur, " Content Based Image Retrieval by Multi Features using Image Blocks " , International Journal of Advanced Computer Research (IJACR), Volume-3, Issue-13, December-2013 ,pp.251-255.