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http://dx.doi.org/10.13067/JKIECS.2018.13.1.175

Color Analysis and Binarization of River Image for River Surveillance  

Park, Sang-Hyun (Dept. Multimedia Engineering, Sunchon National University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.13, no.1, 2018 , pp. 175-186 More about this Journal
Abstract
Due to global warming, various natural disasters such as floods and localized heavy rains are increasing. If a natural disaster can be detected and analyzed in advance and effectively, it can prevent enormous damage due to 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 river regions from river images which can be exploited for river surveillance systems using video sensor networks. In the proposed method, we first analyze the color properties of the river region and the background region of a image and then propose a way to select the proper color channel and binarize the image to detect the river region. It is shown by experimental results that the proposed method is simple but detects river regions accurately.
Keywords
River Surveillance; Environmental Monitoring; Color Model; Image Segmentation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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