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一种改进的快速轮廓线提取算法
引用本文:冯军华,张荣国,王元龙,刘焜. 一种改进的快速轮廓线提取算法[J]. 计算机与数字工程, 2010, 38(1): 124-128
作者姓名:冯军华  张荣国  王元龙  刘焜
作者单位:1. 太原科技大学计算机科学与技术学院,太原,030024
2. 合肥工业大学机械与汽车工程学院,合肥,230009
基金项目:国家自然科学基金项目(编号:50775060)资助;;山西省教育厅项目(编号:20081086)资助
摘    要:文章针对传统主动轮廓模型对噪声敏感,初始位置敏感和收敛速度慢等不足,提出了一种基于PSO和GVF的快速轮廓线提取算法。首先利用PSO对轮廓控制点进行寻优,使之快速地收敛到图像的边缘附近;然后利用插值算法,得到目标图像的较粗糙轮廓,以此目标轮廓作为下一步GVF收敛的初始位置,最后得到准确的轮廓线。实验结果表明该算法不仅能对图像轮廓线进行准确的提取,而且具有一定的抗噪性能,易于实现,速度快等特点。

关 键 词:主动轮廓模型  微粒群算法  梯度矢量流

An Improved Fast Contour Extraction Algorithm
Feng Junhua,Zhang Rongguo,Wang Yuanlong,Liu Kun. An Improved Fast Contour Extraction Algorithm[J]. Computer and Digital Engineering, 2010, 38(1): 124-128
Authors:Feng Junhua  Zhang Rongguo  Wang Yuanlong  Liu Kun
Affiliation:Computer College/a>;Taiyuan University of Science and Technology/a>;Taiyuan 030024;School of Machinery and Automobile Engineering/a>;Hefei University of Technology2
Abstract:The traditional active contour model is sensitive to noise and its initial position,and the speed of convergence is slowly.The paper presents a new contour extraction algorithm based on PSO and GVF.PSO is first proposed to find the optima of snake points for rapidly converging near image edge.Then the interpolation algorithm is applied to gaining the object's rough contour that is used as the next initial position for the GVF convergence,finally get the accurate contour lines.Experimental results show that ...
Keywords:active contour model  PSO  GVF  
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