λ-enhancement: contrast adaptation based on optimization of image fuzziness

Author

Tizhoosh, H.R. ; Krell, G. ; Michaelis, B.

Author_Institution

Fac. of Electr. Eng., Magdeburg Univ. of Technol., Germany

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

1548

Abstract

The contrast improvement of the digital images is an important task in image processing and machine vision. The gray-level modification is one of the most popular methods to perform image enhancement because it is simple in implementation and fast in computing. Since the selection of a suitable mathematical function for the gray-level transformation depends on the specific grayness properties of the image, it is necessary to develop some techniques for automatic selection of an appropriate function. In this work, we introduce a new algorithm for contrast adaptation (λ-enhancement) which is based on involutive fuzzy complements and measures of fuzziness. Regarding to the amount of grayness ambiguity the proposed technique detects the suitable form of the gray-level modification in the set of involutive membership function generated by parameter λ

Keywords

computer vision; fuzzy set theory; image enhancement; optimisation; contrast adaptation; fuzzy complements; fuzzy set theory; gray-level; grayness ambiguity; image enhancement; image fuzziness measure; machine vision; membership function; optimization; Brightness; Differential algebraic equations; Humans; Image generation; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.686349

Filename

686349