DocumentCode :
2642342
Title :
Applications of fuzzy morphology to contrast enhancement
Author :
Wirth, M.A. ; Nikitenko, D.
Author_Institution :
Dept. of Comput. & Inf. Sci., Guelph Univ., Ont., Canada
fYear :
2005
fDate :
26-28 June 2005
Firstpage :
355
Lastpage :
360
Abstract :
Classical methods for contrast enhancement often radically alter the appearance of an image. This paper presents a method of image enhancement based on the subtext of image sharpening, i.e. improving the visual acuity of an image. We propose a contrast enhancement algorithm which is a blend of morphological analysis and fuzzy reasoning, which unlike established methods of sharpening such as unsharp masking, does not excessively accentuate noise.
Keywords :
fuzzy reasoning; image enhancement; mathematical morphology; contrast enhancement; fuzzy morphology; fuzzy reasoning; image enhancement; image sharpening; image visual acuity; morphological analysis; Algorithm design and analysis; Filters; Fuzzy reasoning; Fuzzy sets; Gray-scale; Image enhancement; Information science; Morphology; Pixel; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
Type :
conf
DOI :
10.1109/NAFIPS.2005.1548561
Filename :
1548561
Link To Document :
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