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Abstract Image processing has become such a critical component in contemporary science and technology that many tasks would not be attempted without it It is a truly used in many disciplines such as medical imaging, microscopy, astronomy, geology and many other fields. The rapid and continuing progress in computerized medical image reconstruction, and the associated developments in analysis methods and computer-aided diagnosis, has propelled medical imaging into one of the most important sub-fields in scientific imaging. The analysis of breast image needs to determine its boundary and to separate the pectoral muscle area in order to search for tumor inside the breast region and to determine the state of the breast and its configuration. The objective of this thesis is to determine the breast interface boundary and its dimension and to detect the pectoral muscle to remove it from the breast image. Mathematical modelling and analysis equations had been derived to determine the Breast Border Boundaries (BBB) and Pectoral Muscle Region (PMR). The analysis is based on studying of20 cases MIAS mammogram images. The results obtained from the proposals were excellent, satisfactory, a paper was published in international scientific conference ( ICMSC) in pectoral muscle detection subject |