Paper Details: Downloads: 1654
Serial Number: P1151638519
Title: Region Based Integrated Approach for Image Retrieval
Authors: TALLURI. SUNIL KUMAR and T.V.RAJINIKANTH and B. ESWARA REDDY
Abstract: This paper proposes an integrated method for efficient content based image retrieval using color, shape and rotational invariant texture features. The present paper derived rotational invariant features on each region. To derive shape features textons are computed. To represent texture features gray level co-occurrence matrix (GLCM) features are derived on region based rotational invariant texton matrix. These features are combined with HSV histograms. The advantage of region based models is they are more applicable when working with images of large size and especially in real time environment. The image retrieval is performed on five categories of Wang database and the present method is compared with texton co-occurrence matrix (TCM), color correlogram gradient (CCG) and GLCM methods
Keywords: GLCM, HSV; shape; texture; rotation invariant features
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 16
Issue: 3
Submission Date: 9/12/2016 12:00:00 AM
Review Date: 9/30/2016 12:00:00 AM
Publishing Date: 10/28/2016 12:00:00 AM
Article Downloads: 1654
Download:

Facebook