摘要
针对水平集方法在运行前需要对图像进行高斯平滑处理,导致提取的结果不准确的缺陷,提出一种水平集的改进算法,通过对水平集的提取结果做聚类区域增长处理,修正水平集对目标的边缘提取。通过对比传统水平集方法和改进后的水平集方法对医学上的细胞图像的处理结果,表明该改进算法能有效提高图像边缘提取的质量。
Level set method needs to process the image applying the Gaussian smoothing way before running,resulting in the inaccurate results after the end of the extracting process.For this reason,this paper puts forward an improved level set algorithm,the algorithm can amend the results of edge extracting through clustering region increasing processing to extracting results of the level set.The experimental results show that the improved algorithm can effectively improve the quality of the image edge extracting by comparing the traditional level set method and the improved level set method for medical image processing results on the cell.
出处
《计算机与现代化》
2010年第12期59-60,64,共3页
Computer and Modernization
关键词
水平集
聚类
边缘提取
医学图像
level set method
clustering
edge extracting
medical image
