Visual based contour detection by using the improved short path finding

Xu, Jiawei and Yue, Shigang (2012) Visual based contour detection by using the improved short path finding. Communications in Computer and Information Science, 311 . pp. 145-151. ISSN 1865-0929

Full content URL: http://dx.doi.org/10.1007/978-3-642-32909-8_15

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Item Type:Article
Item Status:Live Archive

Abstract

Contour detection is an important characteristic of human vision perception. Humans can easily find the objects contour in a complex visual scene; however, traditional computer vision cannot do well. This paper primarily concerned with how to track the objects contour using a human-like vision. In this article, we propose a biologically motivated computational model to track and detect the objects contour. Even the previous research has proposed some models by using the Dijkstra algorithm 1, our work is to mimic the human eye movement and imitate saccades in our humans. We use natural images with associated ground truth contour maps to assess the performance of the proposed operator regarding the detection of contours while suppressing texture edges. The results show that our method enhances contour detection in cluttered visual scenes more effectively than classical edge detectors proposed by other methods. © Springer-Verlag Berlin Heidelberg 2012.

Additional Information:13th International Conference, EANN 2012, London, UK, September 20-23, 2012. Conference Code:98083
Keywords:Contour detection, Multi-direction searching, Short path finding
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Engineering
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ID Code:11608
Deposited On:12 Aug 2013 12:42

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