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

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...

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Bibliographic Details
Published inThe Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001 pp. 101 - 106
Main Authors Masek, M., Chandrasekhar, R., deSilva, C.J.S., Attikiouzel, Y.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Australia
Biomedical engineering
Biomedical imaging
Breast tissue
Histograms
Image edge detection
Image registration
Image segmentation
Muscles
Skin
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Summary: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.
ISBN:9781740520614
1740520610
DOI:10.1109/ANZIIS.2001.974058