ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

?Integrated Feature Extraction for Image Retrieval??

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.2, No. 2)

Publication Date:

Authors : ;

Page : 28-35

Keywords : CBIR; Color Descriptor; Color Histogram; Sobel; Canny; Hu Moment Invariant; Texture descriptor; GLCM;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

To retrieve the images from large database that are highly related to the query image where query image is given by user. Three features are used for retrieving the images, which are color, shape and texture. These features are extracted by different techniques. Color feature is extracted by Color Histogram and Color Descriptor. Shape feature is extracted by Hu Moment and Edge detection Method. Texture feature is extracted by Gray Level co-occurrence matrix and texture descriptor. We Compare these three features analyse which is the most suitable features for image retrieval. The robust feature vector set is a combination of three features lead to best results.

Last modified: 2013-02-18 14:53:26