基于小波变换的活动轮廓分割技术  

A Wavelet-based Geodesic Active Contour Model Segmentation Method

作　　者：汪凯斌[1] 张怡[1] 奚玮[1] 俞卞章[1] 

机构地区：[1]西北工业大学电子信息学院,西安710072

出　　处：《弹箭与制导学报》2007年第2期317-319,共3页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：西北工业大学种子基金资助(Z200538)

摘　　要：图像分割是图像处理中的一项重要工作,活动围道分割方法在实际工作中得到了广泛应用。根据几何活动围道模型的特点结合小波技术,提出了一种复杂物体边缘定位算法,能对具有尖角特征的物体轮廓进行快速、准确地提取。对多种图像的分割实验证明了文中方法的有效性。Image segmentation is one of the fundamental problems in image processing and computer vision. Recently active contour models for image segmentation have been extensively studied. The basic idea in active contour models or snakes is to evolve a curve, subject to constraints from a given image, in order to detect objects in that image. In this paper we present an algorithm capable of locating the target object contour of sharp tips accurately. The final contour traced out fits the feature of the target object well and the effectiveness of our method is demonstrated by examples shown in the paper.

关 键 词：活动围道模型 水平集 蛇形算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]