摘要
针对某些医学CT图像边缘弱、噪声强的特点,我们提出了一种综合多种形态学运算的修正算法,该算法对边缘检测算子的组合方式进行了改进,从而避免了边缘的模糊性;在结构元素的选取上,引入多结构元素的方法,能够兼顾到不同方向的边缘,保持边缘的完整性;同时进行了局部对比度增强与形态学滤波处理。实验结果表明,与传统的边缘检测算子相比较,该算法抗噪性能良好,得到的边缘更为准确精细,能够有效地检测出图像的边缘,因此具有一定的实用性。
An improved edge detection algorithm is proposed in this paper for the medical images with strong noises and fuzzy edges. The algorithm modified the combination of morphological operations, so that the unclear ed- ges of the images are avoided. In this paper is also introduced the algorithm of multi-structure elements which can re- serve integrated edges from different directions of the images. Furthermore, the contrast enhancement and morpho- logical filter processing are implemented. This method can detect the edges efficiently, keep the detected edges smooth and obtain coherent image edges. Experiments demonstrate that this edge detector has a better performance of noise reduction and keeps the edges more accurate than do the traditional edge detectors; thus its practicality is enhanced.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2009年第1期177-180,183,共5页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(30600157)
关键词
边缘检测
数学形态学
结构元素
医学图像
Edge detection Mathematical morphology Structure element Medical image
