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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