Enhancement of medical images using a fuzzy model for segment dependent local equalization

Author

Stephanakis, Ioannis ; Anastassopoulos, George ; Karayiannakis, A. ; Simopoulos, C.

Author_Institution

HellenicTelecom. Organ., Athens, Greece

Volume

2

fYear

2003

fDate

18-20 Sept. 2003

Firstpage

970

Abstract

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.

Keywords

equalisers; fuzzy logic; image enhancement; image segmentation; medical image processing; fuzzy equalization; fuzzy membership function; histogram equalization; image segmentation; medical image; segment dependent local equalization; Biomedical imaging; Biomedical informatics; Clustering algorithms; Histograms; Image analysis; Image processing; Image segmentation; Pixel; Signal processing algorithms; Surgery;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on

Print_ISBN

953-184-061-X

Type

conf

DOI

10.1109/ISPA.2003.1296420

Filename

1296420