Feature-oriented fuzzy bidirectional flow for image enhancement

被引:7
作者
付树军 [1 ]
阮秋琦 [2 ]
王文洽 [3 ]
陈景年 [4 ]
机构
[1] School of Mathematics and System Sciences, Shandong University, Ji'nan 250100 Institute of Information Science, Beijing Jiaotong University, Beijing 100044
[2] Institute of Information Science, Beijing Jiaotong University, Beijing 100044
[3] School of Mathematics and System Sciences, Shandong University, Ji'nan 250100
[4] School of Arts and Science, Shandong University of Finance,Ji'nan 250014
基金
中国国家自然科学基金;
关键词
flow; Feature-oriented fuzzy bidirectional flow for image enhancement; AD;
D O I
暂无
中图分类号
TN911.73 [图像信号处理];
学科分类号
0711 ; 080401 ; 080402 ;
摘要
A fuzzy bidirectional flow is presented, which performs a fuzzy backward (inverse) diffusion along the gradient direction to the isophote lines (edges), while does a certain forward diffusion along the tangent direction on the contrary. Controlled by the image gradient magnitude, the fuzzy membership function guarantees image textures with a natural transition between two different areas. To preserve image features, the nonlinear diffusion coefficients are locally adjusted according to the directional derivatives of the image.
引用
收藏
页码:155 / 157
页数:3
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