Title :
Mammographic Images Enhancement and Denoising for Microcalbfication Detection Using Dyadic Wavelet Processing
Author :
Mencattini, Arianna ; Salmeri, M. ; Lojacono, R. ; Caselli, F.
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Roma
Abstract :
Mammography is the most effective method for early detection of breast diseases. However, the typical diagnostic signs, such as masses and microcalcifications, are difficult to be detected because mammograms are low contrast and noisy images. In this paper, we present an algorithm for mammographic images enhancement and denoising based on the wavelet transform. In particular, we develop an adaptive procedure to perform an optimal denoising using a local iterative fuzzy noise variance estimation. Moreover, the degree of enhancement is adoptively tuned at each scale. The proposed algorithm has been tested on clinical images
Keywords :
image denoising; image enhancement; iterative methods; mammography; medical image processing; wavelet transforms; breast diseases; dyadic wavelet processing; local iterative fuzzy noise variance estimation; mammographic image denoising; mammographic image enhancement; microcalcification detection; wavelet transform; Attenuation; Breast cancer; Discrete wavelet transforms; Diseases; Image enhancement; Image reconstruction; Iterative algorithms; Mammography; Noise reduction; Wavelet transforms; Dyadic Wavelet Transform; Image enhancement and denoising; Microcalcification Detection;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328171
