一种改进的快速轮廓线提取算法

An Improved Fast Contour Extraction Algorithm

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。

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 the new algorithm can not only extractive the accurate contour but also has some anti-noise performance, easy to implement and faster.