摘要
本文详细叙述了基于均值聚类算法的图像分割技术,并将该分割结果应用于三维医学器官重构并比较其重构效果,实验结果证明,通过应用该算法的三维医学图像重构,人体各个组织器官能够更加清晰地被分割出来,从而极大限度地提高了器官组织重构的正确性,为拟定最佳手术方案提供可靠依据。
This paper states the color image segmentation technology based on the k-means clustering algorithms, and uses them to image pre-processing of the three dimensions medical image reconstruction. The experiment results show that the issues of human body could be showed up distinctly through the techniques. So it can give more assistance in the physic diagnose and offer a credible foundation for a doctor to make a plan of the best operation project.
出处
《微计算机信息》
北大核心
2007年第05X期303-305,共3页
Control & Automation
基金
江西省教育厅2004科研基金(104012)资助项目
关键词
彩色图像分割
K均值算法
三维重构
数字图像处理
color image segmentation,k-means clustering algorithm,three dimensions reconstruction,digital image processing
