计算机应用与软件Issue(4)：186-190,5.DOI:10.3969/j.issn.1000-386x.2015.04.044
基于多尺度小波边缘检测改进GVF snake的颈部淋巴结超声图像轮廓提取
EXTRACTING CONTOUR OF CERVICAL LYMPH NODE ULTRASOUND IMAGE WITH GVF SNAKE IMPROVED BASED ON MULTI-SCALE WAVELET EDGE DETECTION
摘要
Abstract
It is of positive significance to extract the contour of ultrasound images for medical diagnosis.However,since the ultrasound images have low resolution and SNR,all previous edge detection algorithms cannot achieve ideal effects on overcoming the contradiction between removing image noise,precisely positioning the edge and obtaining continuous and smooth contour lines.GVF snake model can well solve the contradiction above,and has a larger capture range and stronger sag exposed area convergence.However the initial contour of GVF snake must be hand-sketched,it is cumbersome and the results of object extraction are heavily influenced by artificial initialisation. Therefore,we propose a method which combines the multi-scale wavelet transform modulus maxima with GVF snake algorithm to extract the contour of cervical lymph node ultrasound image.First,the method uses wavelet transform modulus maxima multi-scale edge detection algorithm to obtain the edge chart of object image,and then it selects a number of characteristic points from four different directions of upper, lower,left and right,thus can automatically get a rather objective initial contour line.Finally,it uses the GVF snake model to extract the precise contour of the image.Experiments show that the method makes the contour line of the object image smooth and continuous;the contour it extracted is more accurate compared with the GVF snake model,and better reflects local details.In addition,since the initial contour is more approximate to real edge of the given image,thus it reduces the iteration numbers of gradient vector flow (GVF)field and improves the convergence speed of the contour.关键词
淋巴结超声图像/多尺度分析/小波变换/梯度矢量流/活动轮廓模型/轮廓提取Key words
Lymph node ultrasound images/Multi-scale analysis/Wavelet transform/Gradient vector flow/Active contour model/Contour extraction分类
信息技术与安全科学引用本文复制引用
费勤水,张榆锋,陆玉婧,章克信,万国盛,崔龙芳..基于多尺度小波边缘检测改进GVF snake的颈部淋巴结超声图像轮廓提取[J].计算机应用与软件,2015,(4):186-190,5.基金项目
国家自然科学基金项目（61261007）；云南省自然科学基金重点项目（2013FA008）；云南大学研究生科研课题项目（ynuy57）。 （）
