Geometric analysis of particle motion in a vector image field

被引:2
|
作者
Lu, Chenggang [1 ]
Chi, Zheru
Chen, Gang
Feng, Dagan
机构
[1] Hong Kong Polytech Univ, Ctr Multimedia Signal Proc, Dept Elect & Informat Engn, Hong Kong 310027, Hong Kong, Peoples R China
[2] Zhejiang Univ, Inst Sci, Hangzhou 310027, Peoples R China
[3] Ningbo Univ, Inst DSP & Software Tech, Ningbo, Peoples R China
[4] Univ Sydney, Sch Informat Technol, Sydney, NSW 2006, Australia
关键词
edge detection; PMVIF method; image processing;
D O I
10.1007/s10851-006-9002-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a geometrical model for the Particle Motion in a Vector Image Field (PMVIF) method. The model introduces a c-evolute to approximate the edge curve in the gray-level image. The c-evolute concept has three major novelties: (1) The locus of Particle Motion in a Vector Image Field (PMVIF) is a c-evolute of image edge curve; (2) A geometrical interpretation is given to the setting of the parameters for the method based on the PMVIF; (3) The gap between the image edge's critical property and the particle motion equations appeared in PMVIF is padded. Our experimental simulation based on the image gradient field is simple in computing and robust, and can perform well even in situations where high curvature exists.
引用
收藏
页码:301 / 307
页数:7
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