【正文】 Report No. MIPG180, Department of Radiology, University of Pennsylvania, Philadelphia, PA, March 1991.徐曉剛 1967年生，博士，講師，現(xiàn)為浙江大學(xué)CADamp。（f）本文算法平滑后輪廓。（e）為本文算法得到輪廓。適時(shí)地插入新的種子點(diǎn)可以在一定程度上避免能量迭代誤差引起的邊緣定位不準(zhǔn)確問(wèn)題，顯然，在尖點(diǎn)處自動(dòng)插入新種子點(diǎn)則可以改善邊緣定位準(zhǔn)確性。 計(jì)算梯度時(shí)可以采用不同的算子，對(duì)最終計(jì)算所得的能量影響較大的是模板的寬度，本文中采用了高斯函數(shù)計(jì)算梯度。能量函數(shù)包括內(nèi)外力兩方面，如邊界曲率和梯度。CG Zhejiang University Hangzhou 310027)Abstract Image segment plays an important role in the field of image processing, and currently the hybrid approach bining the manual and automatic methods is widely used in segment practice. In this paper we present an algorithm capable of locating the target object contour of sharp tips accurately in the interactive rate. Considering that the edge are usually on the zerocrossing points after Marr transformation for most images, existing techniques tend to give undesirable results because the energy path containing more points is given less priority. In our method we specify a pointer to point the current point on a path of interest, when the energy of current path is less than the energy for the previous point, we check n latest points in the current path instead of checking only one point as existing techniques do, and, if more than m point (m≤n) is zerocrossing, the pointer of the point is updated, otherwise, the pointer remains unchanged. Using this criterion we can insert new seeds automatically near the tips of the target object and the burr is eliminated by a vectorization approach. The final conto