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

Stephanakis, I; Anastassopoulos, G; Karayiannakis, A; Simopoulos, C

dc.contributor.author	Stephanakis, I	en
dc.contributor.author	Anastassopoulos, G	en
dc.contributor.author	Karayiannakis, A	en
dc.contributor.author	Simopoulos, C	en
dc.date.accessioned	2014-03-01T02:49:19Z
dc.date.available	2014-03-01T02:49:19Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34508
dc.subject	Fuzzy Membership Function	en
dc.subject	Fuzzy Model	en
dc.subject	Fuzzy Segmentation	en
dc.subject	Histogram Equalization	en
dc.subject	Medical Image	en
dc.title	Enhancement of medical images using a fuzzy model for segment dependent local equalization	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISPA.2003.1296420	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISPA.2003.1296420	en
heal.publicationDate	2003	en
heal.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	en
heal.journalName	IEEE International Symposium on Intelligent Signal Processing	en
dc.identifier.doi	10.1109/ISPA.2003.1296420	en