Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/262107
Title: Extraction and validation of edge maps for breast thermal image segmentation using level sets
Researcher: ThamilSelvi J
Guide(s): Sujatha C M
Keywords: Breast Thermal Image
Edge Maps
Engineering and Technology,Computer Science,Computer Science Information Systems
University: Anna University
Completed Date: 2018
Abstract: Breast is a mammary gland that lies over musculature which encases the chest wall. Breast undergoes morphological changes due to change in the physiological conditions. Pathological condition such as breast cancer cause morphological and metabolic changes. Early diagnosis and prognosis improves the survival rate of breast cancer. Medical thermography captures thermal variations and preferred adjunct diagnostic tool for early diagnosis of breast cancer. The poor signal to noise ratio and low contrast are the inherent newlinelimitations of thermal images. The detection of breast contour is challenging task because of its amorphous nature and lack of sharp boundaries. To process the image the types of noise, its sources and the characteristics of noise need to be addressed. Segmentation of breast tissue is a means of identifying its pathological conditions. Segmentation is found to be challenging due to presence of vague and amorphous breast edges. Its complexity further increases in the region of lower breast boundaries and infra mammary folds. The extraction of edge map is essential as it provides reliable information about the breast boundaries. newline newline newline
Pagination: xxiii,141p.
URI: http://hdl.handle.net/10603/262107
Appears in Departments:Faculty of Information and Communication Engineering

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04_acknowledgement.pdf5.06 kBAdobe PDFView/Open
05_contents.pdf18.94 kBAdobe PDFView/Open
06_list_of_symbols_and_abbreviations.pdf83.61 kBAdobe PDFView/Open
07_chapter1.pdf29.99 kBAdobe PDFView/Open
08_chapter2.pdf48.39 kBAdobe PDFView/Open
09_chapter3.pdf272.01 kBAdobe PDFView/Open
10_chapter4.pdf6.68 MBAdobe PDFView/Open
11_chapter5.pdf27.65 kBAdobe PDFView/Open
12_references.pdf63.15 kBAdobe PDFView/Open
13_publications.pdf16.3 kBAdobe PDFView/Open


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