Automate fry counting using computer vision and multi-class least squares support vector machine

Article ID	Journal	Published Year	Pages	File Type
8495741	Aquaculture	2013	8 Pages	PDF

Abstract

âº The BPNN and LS-SVM models for fry fish counting were compared. âº The geometric features of overlapping fish were extracted by image processing. âº The number of overlapping fish was determined by the LS-SVM classifier.

Keywords

Computer vision least squares support vector machine Back propagation neural network

Related Topics

Life Sciences Agricultural and Biological Sciences Aquatic Science

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Automate fry counting using computer vision and multi-class least squares support vector machine

Authors

Liangzhong Fan, Ying Liu,