Masters Theses

Abstract

"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.

Advisor(s)

Lee, Hyoung-Koo

Committee Member(s)

Moss, Randy Hays, 1953-
Castaño, Carlos H.

Department(s)

Nuclear Engineering and Radiation Science

Degree Name

M.S. in Nuclear Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2012

Pagination

ix, 42 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2012 Ashish Vighnahar Avachat, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Breast -- Radiography
Diagnostic imaging -- Digital techniques
Diagnostic imaging -- Mathematics
Wavelets (Mathematics)

Thesis Number

T 9958

Print OCLC #

815785581

Electronic OCLC #

908566976

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