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http://dx.doi.org/10.13067/JKIECS.2019.14.6.1197

Crab Region Extraction Method from Suncheon Bay Tidal Flat Images  

Park, Sang-Hyun (Dept. Multimedia Engineering, Sunchon National University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.14, no.6, 2019 , pp. 1197-1206 More about this Journal
Abstract
Suncheon Bay is a very important natural resource and various efforts have been made to protect it from the environmental pollution. Although the project to monitor the environmental changes in periodically by observing the creatures in tidal flats is processing, it is being done inefficiently by people directly observing it. In this paper, we propose an object segmentation method that can be applied to the method to automatically monitor the living creatures in the tidal flats. In the proposed method, a foreground map representing the location of objects is obtained by using a temporal difference method, and a superpixel method is applied to detect the detailed boundary of an image. Finally the region of crab is extracted by combining the foreground map and the superpixel information. Experimental results show that the proposed method separates crab regions from a tidal flat image easily and accurately.
Keywords
Image Segmentation; Marine Life Recognition; Superpixel; Tidal Flat Image;
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Times Cited By KSCI : 3  (Citation Analysis)
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