Abstract
In water quality early warning system based on the abnormal behavior of fish, the core technology is building the fish movement model and obtaining the movement parameter based on this model. The fish body image accurate segmentation is the key to the implementation of this core technique. The single edge detection method can not accurately detect fish all edges. In the paper, the proposed solution is that the original image is firstly segmented by Canny operator and Log operator respectively and then the two segmented images are fused based on the wavelet transform. The fused image will obtain more complete target information from the two segmented images. The fish image acquired by the machine vision is processed according to the idea. The result shows that this method can obtain better edge detection effect. It will provide technical support for the live fish movement modeling.
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