A fuzzy enhancement schema for density-typed mammograms

A number of fuzzy techniques have been introduced for image enhancement, with an unidentified criterion defining the variable success of each technique. Applying these algorithms to mammography demonstrates that the ability to accentuate regions of interest (ROI) through contrast improvement is inherently dependent on the breast tissue densities represented by the mammograms. Discrimination between different breast tissue density types can ensure that each class of mammogram is enhanced using the most effective fuzzy algorithm available, consequently providing the most accurate and precise results for contrast improvement, and thus, breast cancer detection.