"Mammography has been the most efficient tool for screening of microcalcification and cancer tissues; however, the raw images produced by mammography systems are usually of poor contrast. In order to use these raw images for early diagnosis; their contrast, sharpness and noise need to be enhanced. Among these important enhancement parameters contrast enhancement is critical. A novel algorithm is introduced which blends wavelet transforms with Contrast Limited Adaptive Histogram Equalization (CLAHE) for contrast enhancement. In this algorithm, the input image is decomposed to its low frequency and high frequency components in wavelet domain. Decomposed coefficients from different bands are then manipulated. Manipulation of decomposed images consists of applying the modified CLAHE algorithm. The new algorithm was tested on a number of mammogram images. To gauge the potential of the new algorithm, the results were compared with results of CLAHE algorithm. The comparison showed that the proposed algorithm produces improved contrast"--Abstract, page iv.
Moss, Randy Hays, 1953-
Castaño, Carlos H.
Mining and Nuclear Engineering
M.S. in Nuclear Engineering
Missouri University of Science and Technology
ix, 42 pages
© 2012 Ashish Vighnahar Avachat, All rights reserved.
Thesis - Restricted Access
Library of Congress Subject Headings
Breast -- Radiography
Diagnostic imaging -- Digital techniques
Diagnostic imaging -- Mathematics
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Electronic OCLC #
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b9388059~S5
Avachat, Ashish Vighnahar, "Wavelet based contrast limited histogram equalization for contrast enhancement of digital mammography" (2012). Masters Theses. 4142.
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