TY - GEN
T1 - Distributed edge detection algorithm based on wavelet transform for wireless video sensor network
AU - Li, Qiulin
AU - Hao, Qun
AU - Song, Yong
AU - Wang, Dongsheng
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Distributed edge detection
KW - Wavelet transform
KW - Wireless video sensor networks
UR - https://www.scopus.com/pages/publications/79960421124
U2 - 10.1117/12.888576
DO - 10.1117/12.888576
M3 - Conference contribution
AN - SCOPUS:79960421124
SN - 9780819485700
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Fourth International Seminar on Modern Cutting and Measurement Engineering
T2 - 4th International Seminar on Modern Cutting and Measurement Engineering
Y2 - 10 December 2010 through 12 December 2010
ER -