基于最大目标函数的医学图像边缘检测

鉴于医学图像特点和传统算法的缺点,提出一种新的医学图像边缘检测算法,该算法通过考察3×3模板的理想边缘结构特征,将模板像素沿边缘方向分为两个集合,通过距离度量函数构造适当的目标函数,计算四个方向的目标函数值,从而获得最大目标函数值,并与给定的阈值比较,应用非极大抑制方法,判别该象素是否为边缘点,最后进行双阈值连接,可得到单像素边缘图像。仿真结果表明,该算法能够有效检测医学图像边缘,所检测出的图像边缘细节丰富,单像素宽,定位准确。

Medical Edge Detection Based on Maximizing Objective Function

A novel edge detection method for medical image is proposed for the characteristics of the medical images and drawback of classical method.The characters of ideal image edge of 3×3 mask are considered and two pixel sets in the mask are used to construct an objective function.By distance measure,the values of the objective function corresponding to four directions can be determined and the edge intensity is computed.Then a max value of each pixel in the mask can be obtained.Through comparing with threshold given and by applying non-maxima suppression method,the pixel can be judged that it is or not an edge pixel.At last,the edge points of the image are extracted by double-threshold connecting.Experimental results show that the proposed algorithm performs well in terms of the ability to detect the edge and noise.The final edge image is precisely localized with single pixel.