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

来源：

ChineseOpticsLetters | 2006年 / 03期

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

页码：155 / 157

页数：3