Moving-edge detection via heat flow analogy

作     者：Direkoglu, Cem Nixon, Mark S. 

作者机构：Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England 

出 版 物：《PATTERN RECOGNITION LETTERS》 (模式识别快报)

年 卷 期：2011年第32卷第2期

页      面：270-279页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Moving edges Feature extraction Image processing Computer vision Heat flow 

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