Multiscale Edge Detection Based on Particle Filter

被引：0

作者：

Ye, Fa-mao ^{[1
]}

Li, Fu-yu ^{[1
]}

Hu, Shi-hong ^{[1
]}

机构：

[1] Nanchang Univ, Dept Comp Sci & Engn, Nanchang, Peoples R China

来源：

2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2013) | 2013年

关键词：

edge detection; multiscale; particle filter; Gaussian smoothing;

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：

Edge detection is a hard problem and has an important role in image processing, computer vision. This paper proposes a multiscale method for edge detection based on increasing Gaussian smoothing and particle filter. The method use Gaussian smoothing to obtain some difficult scales smoothed image, and then use particle filter to track edge. Experiments on natural images are compared with the Canny edge detection algorithm.

引用

页码：292 / 296

页数：5

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