吉林大学学报（理学版）2016，Vol.54Issue(5)：1103-1108,6.DOI:10.13413/j.cnki.jdxblxb.2016.05.30
基于梯度向量流的活动轮廓模型
Active Contour Model Based on Gradient Vector Flow
摘要
Abstract
Aiming at the problem that the current active contour model was sensitive to noise,and it was difficult to realize accurate segmentation for weak boundary image,we proposed a new active contour model based on gradient vector flow.Firstly,contourlet transform was used to denoise image,and interference of noise to image segmentation was solved.Secondly,an instruction function was introduced to active contour model,which was used to describe the relationship between the vector field and the contour curve,and image was segmented by contour curve evolution.Finally, experiments were carried out to verify the performance of the proposed image segmentation model. Experimental results show that the proposed method can achieve fast and accurate segmentation for many kinds of images,and segmentation accuracy and anti noise ability are better than other active contour models.关键词
梯度向量流/噪声敏感性/水平集/轮廓曲线/细节信息Key words
gradient vector flow/noise sensitivity/level set/contour curve/detail information分类
信息技术与安全科学引用本文复制引用
罗岑弘..基于梯度向量流的活动轮廓模型[J].吉林大学学报（理学版）,2016,54(5):1103-1108,6.基金项目
国家教育信息技术研究“十二五”规划2015年度青年科研项目(批准号:156242644) （批准号:156242644）
