doi: 10.7763/IJCTE.2011.V3.344
An Automated System for Classification of Micro Calcification in Mammogram Based on Jacobi Moments
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.
Keywords
- Jacobi Polynomials
- Jacobi moments
- micro calcifications
How to 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. https://doi.org/10.7763/IJCTE.2011.V3.344
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).