Title :
Quality evaluation of fuzzy contrast enhancement algorithms
Author :
Wirth, M.A. ; Nikitenko, D.
Author_Institution :
Dept. of Comput. & Inf. Sci., Guelph Univ., Ont., Canada
Abstract :
A number of algorithms for contrast enhancement incorporating fuzzy reasoning have been proposed in the literature. This paper evaluates four familiar fuzzy enhancement algorithms by applying them to the task of mammogram enhancement. MATLAB implementations of the algorithms and performance metrics are available online at http://www.uoguelph.ca/∼mwirth.
Keywords :
fuzzy reasoning; image enhancement; mammography; medical image processing; fuzzy contrast enhancement; fuzzy reasoning; mammogram enhancement; quality evaluation; Biomedical imaging; Fuzzy reasoning; Histograms; Humans; Image enhancement; Image processing; Image quality; Information science; MATLAB; Measurement;
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
DOI :
10.1109/NAFIPS.2005.1548575
