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Proceedings Paper

Distributed edge detection algorithm based on wavelet transform for wireless video sensor network
Author(s): Qiulin Li; Qun Hao; Yong Song; Dongsheng Wang
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Paper Abstract

Edge detection algorithms are critical to image processing and computer vision. Traditional edge detection algorithms are not suitable for wireless video sensor network (WVSN) in which the nodes are with in limited calculation capability and resources. In this paper, a distributed edge detection algorithm based on wavelet transform designed for WVSN is proposed. Wavelet transform decompose the image into several parts, then the parts are assigned to different nodes through wireless network separately. Each node performs sub-image edge detecting algorithm correspondingly, all the results are sent to sink node, Fusing and Synthesis which include image binary and edge connect are executed in it. And finally output the edge image. Lifting scheme and parallel distributed algorithm are adopted to improve the efficiency, simultaneously, decrease the computational complexity. Experimental results show that this method could achieve higher efficiency and better result.

Paper Details

Date Published: 26 May 2011
PDF: 6 pages
Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79972O (26 May 2011); doi: 10.1117/12.888576
Show Author Affiliations
Qiulin Li, Beijing Institute of Technology (China)
Qun Hao, Beijing Institute of Technology (China)
Yong Song, Beijing Institute of Technology (China)
Dongsheng Wang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7997:
Fourth International Seminar on Modern Cutting and Measurement Engineering
Jiezhi Xin; Lianqing Zhu; Zhongyu Wang, Editor(s)

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