Moving-edge detection via heat flow analogy

被引：10

作者：

Direkoglu, Cem ^{[1
]}

Nixon, Mark S. ^{[1
]}

机构：

[1] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

来源：

PATTERN RECOGNITION LETTERS | 2011年 / 32卷 / 02期

关键词：

Moving edges; Feature extraction; Image processing; Computer vision; Heat flow; EXTRACTION;

D O I：

10.1016/j.patrec.2010.08.012

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 this paper a new and automatic moving-edge detection algorithm is proposed based on using the heat flow analogy This algorithm starts with anisotropic heat diffusion in the spatial domain to remove noise and sharpen region boundaries for the purpose of obtaining high quality edge data Then isotropic and linear heat diffusion is applied in the temporal domain to calculate the total amount of heat flow The moving-edges are represented as the total amount of heat flow out from the reference frame The overall process is completed by non-maxima suppression and hysteresis thresholding to obtain binary moving-edges Evaluation on a variety of data indicates that this approach can handle noise in the temporal domain because of the averaging inherent of isotropic heat flow Results also show that this technique can detect moving-edges in image sequences without background Image subtraction (C) 2010 Elsevier B V All rights reserved

引用

页码：270 / 279

页数：10

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