Paper
18 September 2003 Applications of localized image processing techniques in wireless sensor networks
Divya Devaguptapu, Bhaskar Krishnamachari
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Abstract
We describe the application of image processing techniques for data refinement in sensor networks, by mapping network nodes to pixels in an image. Due to their localized, distributed nature, these techniques are inherently scalable and therefore desirable for use in large sensor networks. We examine two specific problems: cleaning of uncorrelated sensor noise, and the decentralized detection of edges (such as the perimeter of a chemical leak). Our simulation results show that the performance of these processing techniques depends critically upon both sensor density and radio range.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Divya Devaguptapu and Bhaskar Krishnamachari "Applications of localized image processing techniques in wireless sensor networks", Proc. SPIE 5090, Unattended Ground Sensor Technologies and Applications V, (18 September 2003); https://doi.org/10.1117/12.487490
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CITATIONS
Cited by 15 scholarly publications.
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KEYWORDS
Image processing

Sensors

Sensor networks

Edge detection

Image sensors

Image filtering

Environmental sensing

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