Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
Journal Home Volume Issue |
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Issue |
Volume-4,Issue-7 ( Jul, 2017 ) | |||||||||
Paper Title |
Template Matching Based De-Clumping of Planktons in Clumped Microscopic Plankton Images | |||||||||
Author Name |
Youngsung Soh, Qadir Mudasar | |||||||||
Affilition |
Professor1, Researcher2Dept. of Information and Communication Engineering, Myongji University, Korea | |||||||||
Pages |
16-19 | |||||||||
Abstract |
Distribution of planktons in ocean provides an important clue on marine ecosystem health. Diverse automatic analysis methods have been proposed to recognize plankton species, but only a few of them dealt with de-clumping of clumped planktoncells even though separation into individual cells is necessary before recognition. Most of de-clumping methods assumes that individual cell has a certain shape (usually circular or round) and uses circle fitting or concavity detection based separation approaches. However many plankton species neither have circular-like shape nor bear concavities in clumped boundaries. In this paper, we propose a 2-D weak affine invariant template matching method tailored to declumping of harmful plankton species found in Korean peninsula.We tested the proposed method with many samples and obtained almost perfect results. | |||||||||
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