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http://dx.doi.org/10.13067/JKIECS.2018.13.4.787

Water Region Segmentation Method using Graph Algorithm  

Park, Sang-Hyun (Dept. Multimedia Engineering, Sunchon National University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.13, no.4, 2018 , pp. 787-794 More about this Journal
Abstract
The various natural disasters such as floods and localized heavy rains are increasing due to the global warming. If a natural disaster can be detected and analyzed in advance and more effectively, it can prevent enormous damage of natural disasters. Recent development in visual sensor technologies has encouraged various studies on monitoring environments including rivers. In this paper, we propose a method to detect water regions from river images which can be exploited for river surveillance systems using video sensor networks. In the proposed method, we first segment a river image finely using the minimum spanning tree algorithm. Then, the seed regions for the river region and the background region are set by using the preliminary information, and each seed region is expanded by merging similar regions to segment the water region from the image. Experimental results show that the proposed method separates the water region from a river image easier and accurately.
Keywords
Environmental Monitoring; Minimum Spanning Tree; Image Segmentation; River Surveillance;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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