A new fuzzy relaxation algorithm for image enhancement

Article type: Research Article

Authors: Zhou, Shang-Ming^{; *} | Gan, John Q.

Affiliations: Department of Computer Science, University of Essex, Colchester CO4 3SQ, UK

Correspondence: [*] Corresponding author. Tel.: +44 01206 874381; Fax: +44 01206 872788; E-mail: smzhou@ieee.org

Abstract: This paper proposes a new fuzzy relaxation scheme for image contrast enhancement, which has desirable convergence properties of relaxation operations on both fuzzy domain and image spatial domain. Furthermore, in order to measure the quality of an enhanced image, an index of fuzziness is presented in this paper to evaluate the performance of the fuzzy relaxation scheme, which is used as a criterion for automatically stopping the relaxation process. Experimental results have shown the validity of the proposed fuzzy relaxation algorithm.

DOI: 10.3233/KES-2006-10301

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 10, no. 3, pp. 181-192, 2006