基于医学图像轮廓的图像分割方法  

An Image Segmentation Method Based on Medical Image Contour

作　　者：罗简[1] 何国青[1] 沈雁南[1] 黎升乐[1] 方玫[1] LUO Jian,HE Guo-qing,SHEN Yah-nan, LI Sheng-le, FANG Mei （College of Mathematics and Information Engineering,Jiaxing University, Jiaxing 314001,China）

机构地区：[1]嘉兴学院数理与信息工程学院,浙江嘉兴314001

出　　处：《电脑知识与技术》2011年第12期8899-8901,共3页Computer Knowledge and Technology

基　　金：嘉兴学院SRT重点项目资金资助

摘　　要：医学图像分割是医学图像处理中最基本和最重要的技术，其目的是把图像空间分割成一些有意义的区域。利用现在的图像处理技术来处理医学图像，比如获取发生癌变肝脏图像的效果并不是很明显。针对如何获取较清晰的特定感兴趣区域供医生辅助判断，本项目提出了一种基于医学图像轮廓的图像分割方法。其核心思想是用一种新的算法将组织器官图像的轮廓提取出来，然后对轮廓中的区域进行阈值分割。Medical image segmentation is the most ftmdamental and important technology in medical image processing, and its aim is to divide the image space into some meaningful areas. The popular image processing technology is applied to dealing with medical images.However, for example, it＇s not easy to achieve an obvious effect on beconfing a cancerous liver image. In term of how to get a clear specific region of interest for doctors making auxiliary judgments, an image segmentation method based on medical image contour is proposed in the project. The kernel idea is to extract the coutour of tissues and organs images by using a new method, and then using the threshold segmentation algorithm to caculate the areas in the outline.

关 键 词：医学图像 图像处理 辅助判断 轮廓 图像分割 

分 类 号：TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]