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A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram

Brahim Belhaouari, Samir and Ibrahima, Faye and Mohamed Meselhy, Eltoukhy (2010) A comparison of Wavelet and Curvelet for Breast Cancer Detection in Digital Mammogram. ComputersinBiologyandMedicine .

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Abstract

This paper presents a comparative study between wavelet and curvelet transform for detection of breast cancer in digital mammogram. Using multi-resolution analysis, mammogram images are decomposed into different resolution levels, which are sensitive to different frequency bands. By extracting a set of coefficients from each decomposition level, a supervised classifier system based on Euclidean distance is constructed. The experimental results show that, using curvelet transform is much better than using wavelet transform for digital mammogram classification.

Item Type:Article
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:2722
Deposited By: Dr Samir Brahim Belhaouari
Deposited On:21 Sep 2010 00:37
Last Modified:01 Apr 2014 06:16

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