• Jun 14, 2017 News!Vol.8, No.5 has been indexed by EI (Inspec).   [Click]
  • Jul 19, 2017 News!Vol.9, No.4 has been published with online version. 16 peer reviewed articles from 16 specific areas are published in this issue.   [Click]
  • Jun 14, 2017 News!Vol.9, No.3 has been published with online version. 15 peer reviewed articles from 8 specific areas are published in this issue.   [Click]
General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2011 Vol.3(3): 431-434 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.344

An Automated System for Classification of Micro Calcification in Mammogram Based on Jacobi Moments

N. V. S. Sree Rathna Lakshmi and C. Manoharan

Abstract—Mammography is the only effective and viable technique to detect breast cancer especially in the case of minimal tumors. About 30% to 50% of breast cancers demonstrate deposits of calcium called micro calcifications. This paper presents an approach for detecting micro calcifications in mammograms employing Jacobi Moments. The set of Jacobi polynomials are orthogonal and this ensures minimal information redundancy between the moments. Jacobi moments encompass the properties of well known Zernike, Legendre and Tchebichef moments. Thus Jacobi moments are used as a feature set for the classification of mammogram as benign and malignant.

Index Terms—Jacobi Polynomials, Jacobi moments, micro calcifications


 

[PDF]

Cite: N. V. S. Sree Rathna Lakshmi and C. Manoharan, "An Automated System for Classification of Micro Calcification in Mammogram Based on Jacobi Moments," International Journal of Computer Theory and Engineering vol. 3, no. 3, pp. 431-434, 2011.
 

Copyright © 2008-2015. International Journal of Computer Theory and Engineering. All rights reserved.
E-mail: ijcte@vip.163.com