基于GVF Snake模型的舌像分割研究

Research on Tongue Segmentation Based on GVF Snake Model

为了将舌体区域正确地从采集的舌像中分割出来,与传统的Snake模型相比较,本文运用一种优化的GVF Snake模型的方法来实现对舌图像的分割。首先对所选的舌像进行中值滤波,经过二值化处理后,得到舌体的初始化轮廓线,然后采用改进的GVF Snake模型对初始化轮廓线进行边缘修正,最后得到的舌体图像更加清晰、连贯,提高了图像的可视性和准确性。

In order to segment the tongue region correctly from the collected tongue images,compared with the traditional Snake model,this paper uses an optimized GVF Snake model to achieve the segmentation of the tongue image.Firstly,the median image of the selected tongue image is filtered.After the binarization process,the initialization contour of the tongue body is obtained.Then the edge contour of the initial contour is modified by the improved GVF Snake model,and the final tongue image is clearer.,Coherence,improve the visibility and accuracy of the image.