一种医学图像的边缘检测算法  

AN ALGORITHM OF MEDICAL IMAGE EDGE DETECTION

作　　者：韩利华[1] 黎蔚[1] 陈家新[1] 

机构地区：[1]河南科技大学电子信息工程学院,河南洛阳471003

出　　处：《计算机应用与软件》2009年第3期44-45,91,共3页Computer Applications and Software

基　　金：国家自然科学基金资助项目(50571035);河南省科技厅自然科学基金项目(0411010200)

摘　　要：提出一种改进的医学图像边缘检测方法。利用图像四叉树分解技术和模糊形态学的思想,根据图像像素点方向的不同性,构造不同方向不同尺度的结构元素对边缘像素进行模糊形态学运算,进而检测到图像边缘。实验结果表明,算法提取的边缘能够精确地显示物体的内部细节信息,较好地解决了抑制噪声和保留精细边缘之间的矛盾,与其它边缘检测算子相比是一种较实用的边缘检测算法。An improved method of medical image edge detection is introduced in the paper. It uses image quadtree decomposition technology and the idea of fuzzy morphology, constructs structural elements with different directions and scales according to the difference of image pixels＇ directions to perform fuzzy morphology operation against edge pixels and then to detect image edge. The experiment demonstrates that the extracted edge can accurately display image＇s internal detail information. It can solve the contradiction preferably between anti-noise and thin edge preserving and is a practical algorithm for edge detection comparing with other edge detection operators.

关 键 词：边缘检测 结构元素 模糊形态学 四叉树 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] O159[自动化与计算机技术—计算机科学与技术]