A Proposed Method to Improve Quality of Image Using Panorama Technology for WSNs
The Nguyen Manh *
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam.
Phat Nguyen Huu
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam.
Vinh Tran-Quang
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam.
*Author to whom correspondence should be addressed.
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.
Keywords: Panorama, combining, image stitching, SIFT, RANSAC, homography, ghost, detecting