基于GVF Snake模型的舌像分割研究  

Research on Tongue Segmentation Based on GVF Snake Model

作　　者：高清河[1] 刚晶[1] 王和禹[1] 刘海英[1] GAO Qing-he;GANG Jing;WANG He-yu;LIU Hai-ying(College of Information Engineering,Liaoning University of Chinese Medicine,Shenyang,Liaoning 110847,China)

机构地区：[1]辽宁中医药大学信息工程学院,辽宁沈阳110847

出　　处：《科技视界》2018年第6期131-132,共2页Science & Technology Vision

基　　金：辽宁省教育厅科学研究一般项目(编号:L2015333)资助

摘　　要：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.

关 键 词：SNAKE模型 GVF SNAKE模型 中值滤波 图像分割 

分 类 号：R318[医药卫生—生物医学工程] TP391[医药卫生—基础医学]