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http://dx.doi.org/10.7840/KICS.2011.36B.11.1339

Red Tide Algae Recognition using PCA and Roundness  

Park, Sun (목포대학교 정보산업연구소)
Lee, Yeon-Woo (목포대학교 정보통신공학과)
Jeong, Min-A (목포대학교 컴퓨터공학과)
Lee, Seong-Ro (목포대학교 정보전자공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.36, no.11B, 2011 , pp. 1339-1345 More about this Journal
Abstract
Red tide is a natural phenomenon that change sea color by harmful algal blooms. There have been many studies on red tide due to increasing of red tide damage. However, to automatically classify the red tide algae is not enough. Recognition of red tide algae is difficult because they do not have matching center features for recognizing algae image object. Previously studies are used a few type of red tide algae for classification. In this paper, we proposed the red tide algae recognition method using PCA and roundness of image objects.
Keywords
red tide algae; image recognition; PCA(principle component analysis); roundness; entropy;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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