A novel model for fuzzy equalization of medical images is proposed. The method requires a preprocessing step which accomplishes a fuzzy segmentation of the image into N segments with overlapping fuzzy boundaries. Histogram equalization is performed according to individual equalization functions derived from each segment of the image. A fuzzy membership function is associated with each segment. Enhancement results compare well against histogram equalization techniques that derive the equalization transform function from the global histogram of the image.
Enhancement of medical images using a fuzzy model for segment dependent local equalization
2003-01-01
382723 byte
Conference paper
Electronic Resource
English
Enhancement of Medical Images using a Fuzzy Model for Segment Dependent Local Equalization
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