A combinatorial edge detection algorithm on noisy images

被引：0
|
作者：
Rital, S [1 ]
Bretto, A [1 ]
Cherifi, H [1 ]
Aboutajdine, D [1 ]
机构：
[1] Univ Bourgogne, LIRSIA, Fac Sci Mirande, Dijon, France
来源：
PROCEEDINGS VIPROMCOM-2002 | 2002年
关键词：
graph; hypergraph; noise detection; edge detection; neighborhood relations; adaptive hypergraph model; combinatorial model;
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：
In this paper(1), we present an algorithm for edge detection in noisy images. First, a Image Adaptive Neighborhood Hypergraph (IANH) representation is computed. Next, a detection procedure based on hypergraph properties is used to classify hyperedges either as noise, edges or region. The application of this technique to noisy images has resulted in a considerable improvement in performance as compared to classical approaches.
引用
收藏
页码：351 / 355
页数：5
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