Mean curvature evolution and surface area scaling in image filtering

被引：44

作者：

ElFallah, AI

Ford, GE

机构：

[1] Center for Image Processing and Integrated Computing, University of California, Davis

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 1997年 / 6卷 / 05期

关键词：

D O I：

10.1109/83.568931

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Representing the image as a surface, an inhomogeneous diffusion algorithm is developed, evolving the surface at a speed proportional to its mean curvature, reducing noise while preserving image structure, An adaptive scaling parameter increases the speed of the diffusion, The properties of a discrete algorithm are demonstrated experimentally.

引用

收藏

页码：750 / 753

页数：4

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