A Research on the Recognition of Chironomid Larvae Based on SVM

The traditional method of detecting Chironomid larvaes and plankton mostly is manual identification, which is inefficient. This paper puts forward the Chironomid larvae recognition method which is based on the support vector machines. The Chironomid larvae images are decomposed using a wavelet from which the features were extracted and kernel function is used. The experiment shows that the recognition rate is up to 86%, which demonstrates the effectiveness of this method.

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