基于Gabor滤波器虚部的CT脑血管医学图像边缘特征提取方法  

Edge Information Extraction Algorithm of CT Cerebrovascular Medical Image Based on Imaginary Part of Gabor Filter

作　　者：雷印胜[1] 王明时[1] 秦然[2] 

机构地区：[1]天津大学精密仪器与光电子工程学院,天津300072 [2]山东青年管理干部学院信息工程系,济南250014

出　　处：《天津大学学报》2007年第7期833-838,共6页Journal of Tianjin University(Science and Technology)

摘　　要：在图像处理方面,Gabor滤波器的实部被广泛应用于纹理图像的增强,对其虚部却没有单独的使用.为保证三维重建图像的质量和细节边缘信息的提取,对Sobel算子和Gabor滤波器的虚部组成特点进行了分析.基于CT脑血管医学图像的边缘特征提取中成功引入了Gabor滤波器虚部的滤波结果作为新的脑血管边缘图像特征,并对特定条件下的Gabor滤波算法进行了有效的改进,使运算的复杂度由O(n2)降至O(n).The imaginary part of Gabor filter is not used alone in image processing though the real part of it is wildly used in this field. To insure the quality of 3D image reconstruction and the edge information extraction, the characters of the Sobel operator and the imaginary part of Gabor filter are analyzed. The imaginary part of Gabor filter is introduced into the edge information extraction of CT cerebrovascular medical image. The Gabor filter al- gorithm is improved under certain conditions, and the complexity is reduced from O（n^2） to O（n）.

关 键 词：CT脑血管医学图像 Gabor滤波器虚部 边缘特征提取 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]