Edge detection by anisotropic diffusion

被引：0

作者：

Montesinos, P ^{[1
]}

Chouk, S ^{[1
]}

机构：

[1] EERIE EMA, LGI2P Site, F-30000 Nimes, France

来源：

CISST'2000: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS, AND TECHNOLOGY, VOLS I AND II | 2000年

关键词：

edge detection; PDE; anisotropic diffusion; smoothing preserving corners;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present in this paper a new method for edge detection using anisotropic diffusion. We show here that edges can be robustly extracted without lost of precision and in particular at corners, even in the case of noisy images. We first present a direct; method for extracting edges of the input image in "small level of noise" case. We then improve this method for "high levels of noise", proposing a new diffusion restauration scheme preserving corners. We present various results on synthetic and real images.

引用

页码：605 / 609

页数：5

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