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Spatially based application of the minimum cross-entropy thresholding algorithm to segment the pectoral muscle in mammograms

Masek, M., Chandrasekhar, R., de Silver, C.J.S. and Attikiouzel, Y. (2001) Spatially based application of the minimum cross-entropy thresholding algorithm to segment the pectoral muscle in mammograms. In: Seventh Australian and New Zealand Intelligent Information Systems Conference, 18 - 21 November 2001, Perth, Western Australia pp. 101-106.

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Abstract

A threshold-based algorithm is presented for the extraction of the pectoral muscle edge in mediolateral oblique view mammograms. The minimum cross-entropy thresholding algorithm is applied to local areas around the pectoral muscle to determine a series of thresholds as a function of area size. Using a model image it is shown that art inflection point in this function corresponds to a threshold that will separate the pectoral muscle from the rest of the breast. Post processing is performed on mammograms to eliminate false positive points of inflection and a straight line is fitted to the detected pectoral boundary in order to smooth jaggedness caused by the non-uniform intensity of the pectoral muscle edge.

Item Type: Conference Paper
Publisher: IEEE
Copyright: © 2001 IEEE.
URI: http://researchrepository.murdoch.edu.au/id/eprint/19098
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