用形态学改进医学图像边缘检测算法

An improved morphological edge detection algorithm of medical image

针对医学图像的噪声问题,在数学形态学边缘检测算子的基础上,综合多结构元素和多尺度算法的特性,提出了一种改进的边缘检测算法。该算法采用交替序列滤波器和结构元素,对数据分别进行闭运算和开运算,并且对水平、垂直和倾斜方向采用不同的权重系数进行加权,同时计算出膨胀型边缘检测算子,最后获得改进的边缘检测算子。给出了算法实现的具体步骤,使用该算法提取了MRI图像边缘,并对Lena图也进行了检测。实验表明该算法能够提高传统的形态学边缘检测方法的边缘分辨率,具有一定的实用性。

Medical images usually contain much noise which affects the edge detection accuracy. Focusing on this problem, based on the edge detection operator in mathematical morphology, an improved edge detection algorithm is presented by combining the features of the multi-structure elements and the multiscale edge detection algorithm. The algorithm performs opening and closing operations on the data with the alternative sequence filters and the structure elements. The weighting operation is applied with different weight coefficients for horizontal, vertical and diagonal directions, while the edge detection operator with dilation type is calculated to obtain the improved edge detection algorithm. The steps of the algorithm are described. The algorithm is used to extract the edge of MRI image as well as the image of Lena. The experimental results indicate the algorithm can considerably improve the edge resolution of the traditional morphological edge detection methods and is practical.