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Automatic Red Tide Algae Recognition
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作者 JIANG Tao WANG Cheng +3 位作者 WANG Bo-liang xie jie-zhen JIAO Nian-zhi LUO Ting-wei 《Chinese Journal of Biomedical Engineering(English Edition)》 2010年第1期22-29,共8页
This paper presents a real-time alga classifier designed for flow-cytometry-based marine alga monitoring systems.The difficulties of such classification include:1)the shape of the same algae category is deformable,and... This paper presents a real-time alga classifier designed for flow-cytometry-based marine alga monitoring systems.The difficulties of such classification include:1)the shape of the same algae category is deformable,and largely variant due to the individual differences and mature stage;2)the image of algae may vary due to different 3D positions to the imaging plane and partial occlusion;3)the images also contain unknown algae and contaminations.In the proposed method,several shape features were developed,a naive Bayes classifier(NBC)was trained to reject the contaminative objects and unknown algae,and a support vector machine(SVM)was used to classify the algae to taxonomic categories.Our approach achieved greater 90%accuracy on a collection of algal images.The test on contaminated algal image set(containing unknown algae and non-algae objects such as sands)also demonstrated promising results. 展开更多
关键词 red tide ALGA support vector machine(SVM) feature extraction
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