Preliminary Design of a Recognition System for Infected Fish Species Using Computer Vision

Abstract : For the purpose of classification of fish species, a recognition system was preliminary designed using computer vision. In the first place, pictures were pre-processed by developed programs, dividing into rectangle pieces. Secondly, color and texture features are extracted for those selected texture rectangle fish skin images. Finally, all the images were classified by multi-class classifier named SVMs. The experiment showed that color and texture are the appropriate features for fish species classification. The multi-class classifier based on SVM will be developed for further work.
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Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.530-534, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_60〉
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Jing Hu, Daoliang Li, Qingling Duan, Guifen Chen, Xiuli Si. Preliminary Design of a Recognition System for Infected Fish Species Using Computer Vision. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.530-534, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_60〉. 〈hal-01351860〉

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