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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2642342