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A Contrast Enhancement Method using the Contrast Measure in the Laplacian Pyramid for Digital Mammogram  

Jeon, Geum-Sang (금오공과대학교)
Lee, Won-Chang (금오공과대학교)
Kim, Sang-Hee (금오공과대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.15, no.2, 2014 , pp. 24-29 More about this Journal
Abstract
Digital mammography is the most common technique for the early detection of breast cancer. To diagnose the breast cancer in early stages and treat efficiently, many image enhancement methods have been developed. This paper presents a multi-scale contrast enhancement method in the Laplacian pyramid for the digital mammogram. The proposed method decomposes the image into the contrast measures by the Gaussian and Laplacian pyramid, and the pyramid coefficients of decomposed multi-resolution image are defined as the frequency limited local contrast measures by the ratio of high frequency components and low frequency components. The decomposed pyramid coefficients are modified by the contrast measure for enhancing the contrast, and the final enhanced image is obtained by the composition process of the pyramid using the modified coefficients. The proposed method is compared with other existing methods, and demonstrated to have quantitatively good performance in the contrast measure algorithm.
Keywords
Hidden Markov Network; Successive State Splitting; Phonetic Decision Tree-based SSS; State Splitting Mode; HM-Net Speech Recognition System;
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