Open AccessResearch on Image Fuzzy Enhancement Algorithm with Tanh Operator
Author(s) -
Xiwen Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1673/1/012029
Subject(s) - pixel , fuzzy logic , operator (biology) , algorithm , image (mathematics) , artificial intelligence , simple (philosophy) , computer science , membership function , function (biology) , hyperbolic function , mathematics , computer vision , pattern recognition (psychology) , fuzzy set , biochemistry , chemistry , philosophy , epistemology , repressor , evolutionary biology , biology , transcription factor , gene , mathematical analysis
Improvements are proposed in this paper to overcome the drawbacks of traditional fuzzy enhancement algorithms. Tanh operator is used as membership function, and fuzzy enhancement function are made up of simple power functions, and the image is divided into two regions by adaptive segmentation method, one is high grey region, the other is low grey region, pixels in one region are enhanced, and pixels in the other region are reduced. Simulation results show that this algorithm has good ability to increase image’s contrast, and it is a simple and efficient way to enhance blur edges.