Research on Improved Image Enhancement Algorithm Based on Fuzzy Set

Abstract:

According to the shortcomings of the traditional fuzzy enhancement algorithms, several improvements are proposed. In this improved algorithm, the membership grade functions and fuzzy enhancement operator are made up of piecewise and continuous functions, the image is divided into two regions by OTSU method, one is high grey region, the other is low grey region, pixels in the high grey region are enhanced, and pixels in the low grey region are reduced. Simulation results show that this algorithm has good ability to enhance blur and little edges, and it is an effective and efficient way to increase image’s contrast.

• Periodical: Advanced Materials Research (Volumes 605-607)
• Pages: 2201-2205
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.605-607.2201
• Online since: December 2012
• Authors: Xi Wen Liu, Chao Ying Liu
• Keywords: Fuzzy Set, Image Enhancement, Membership Grade Function, Piecewise and Continuous Functions

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DOI: 10.1109/tsmc.1979.4310076