摘要
本文提出了一种基于模糊数字拓扑的方法来实现医学图象中模糊对象的提取。该方法根据所给定的物体和边缘特征信息将原始医学图象转换到模糊连通空间 ,获得模糊边界。对复杂形状的对象还提出了模糊边界逐步改进和优化的算法。最终可以跟踪出满足实际需要的连通、平滑及优化的物体轮廓线。
A method for extract fuzzy objects on the basis of fuzzy digital topology. When given characteristic information about the desired object and its edge, the new algorithm transformed the original images into fuzzy connective space and extracted their fuzzy boundary. For objects with complex shape, optimization methods were presented to modify the fuzzy boundary. Experiments on some ultrasonic images showed satisfying results with smoothed, connective and optimal boundaries.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2001年第2期138-142,共5页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金资助 !(No .69672 0 0 8)
关键词
图象分割
数字拓扑
模糊连通
边缘提取
医学图像
Image segmentation
Digital topology
Fuzzy connectivity
Boundary extraction
