Art

J-GLOBAL ID：201702256570670602   Reference number：17A0355740

RESEARCH ON IDENTIFICATION METHOD OF FRESHWATER FISH SPECIES USING BPR ALGORITHM BASED ON FISH BACK CONTOUR

魚体背部輪郭BPRアルゴリズムの淡水魚種識別方法の研究【JST・京大機械翻訳】

Author (5)： Tu Bing (College of Information and Communication Engineering,Hunan Institute of Science and Technology, Key Laboratory of Optimization and Control for Complex Systems,College of Hunan Province) ,  Tan Zhihao (College of Information and Communication Engineering,Hunan Institute of Science and Technology) ,  He Yan (College of Information and Communication Engineering,Hunan Institute of Science and Technology) ,  Wang Jinping (College of Information and Communication Engineering,Hunan Institute of Science and Technology) ,  Tao Jian (College of Information and Communication Engineering,Hunan Institute of Science and Technology)
Material： Jisuanji Yingyong Yuruanjian
Volume： 33  Issue： 12  Page： 127-130,139  Publication year： 2016 
JST Material Number： C2940A  ISSN： 1000-386X  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： In view of the online automati...

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Thesaurus term： image ,  database ,  *freshwater fish ,  Ctenopharyngodon idella ,  color image ,  Cyprinidae ,  pretreatment ,  least squares method ,  *algorithm
Semi thesaurus term： 認識精度 ,  分布モデル ,  種分布 ,  マシンビジョン ,  自動認識 ,  オンライン , 【Automatic Indexing@JST】

Author keywords (4)： Machine vision ,  Fish back contour ,  Least-square algorithm ,  Bending potential ratio

JST classification (1)： Graphic and image processing in general  (JE04010I)

Terms in the title (8)： 背部 ,  輪郭 ,  BPR ,  アルゴリズム ,  淡水 ,  魚種 ,  識別 ,  研究