Distributed edge detection algorithm based on wavelet transform for wireless video sensor network
2010
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.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
0
References
1
Citations
NaN
KQI