Abstract: Insects venation extraction for its automatic classification is of great significance.The paper discussed some problems existing in the traditional algorithms of vein extraction and proposed a new method based on tensor voting.First,a sparse binary point figure is obtained by preprocessing such as denoising,binarization,morphology and so on,and the tensor of each pixel is calculated.After performing tensor voting between pixels in neighborhood by setting up a threshold,the final vein edge is obtained.The tensor voting process combines with Gestalt law of proximity,similarity,and etc.The experiment results show that by mean of Gestalt and tensor voting,the structure corresponding to visual perception can be extracted and a more smooth and complete edge contour image can be got.What’s more,even if the vein image has a little fault,the proposed algorithm still can obtain a complete outline.The result vein contour image can greatly improve the performance of the later automatic classification of insects.

Key words: Tensor voting,Insect vein,Edge contour,Visual perception