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Research Article Open access CC BY 4.0

A Proposed Method to Improve Quality of Image Using Panorama Technology for WSNs

The Nguyen Manh, Phat Nguyen Huu, Vinh Tran-Quang

Journal of Advances in Mathematics and Computer Science · pp. 40–61 · Published 13 May 2015

10.9734/BJMCS/2015/17632

Abstract

Aims: Applying an image processing algorithm (image mosaic) for Wireless Sensor Networks (WSNs) and detect the position of the object of the picture. Methodology: The method that we propose includes four steps: Detecting key points, matching key points and cutting overlaps, finding Homography matrix, and combining with RANdom Sample Consensus (RANSAC). In WSNs, a number of nodes are large. We use distributed processing on nodes by using multi-path routing and cutting overlaps. The energy consumption of the system will be reduced and balanced since lifetime of nodes is longer. Results and Conclusion: The results show that the proposed method improves not only quality of images but also energy consumption and lifetime of networks.

Panorama combining image stitching SIFT RANSAC homography ghost detecting

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