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Red Tide Image Recognition using Semantic Features  

Park, Sun (Institute of Information Science and Engineering Research, Mokpo National University)
Lee, Jin-Seok (NIPA)
Lee, Seong-Ro (Department of Information and Electronics)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.5, 2011 , pp. 23-29 More about this Journal
Abstract
There have been many studies on red tide due to increasing damage from red tide on fishing and aquaculture industry. However, internal study of automatic red tide image classification 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 used a few type of red tide algae for image classification. In this paper, we proposed the red tide image recognition method using semantic features of NMF and roundness of image objects.
Keywords
red tide algae; image recognition; NMF, non-negative matrix factorization; semantic features; roundness;
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