Romary D, Lerallut J F, Fontenier G
Comput Biomed Res. 1985 Oct;18(5):488-95. doi: 10.1016/0010-4809(85)90024-2.
Different image processing techniques have been tested and compared on data derived from gamma-angiography images to detect the boundary of the left ventricle. The method involves a preprocessing step, followed by the edge detection itself. The best preprocessing is a nonlinear "variant" filtering, where each pixel is replaced by the average of the 3 X 3 neighborhood having the smallest variance. The edge detector giving the best contour is a Sobel operator. A second-order high-pass Butterworth filter also provides a good segmentation.
已经对不同的图像处理技术进行了测试，并在源自伽马血管造影图像的数据上进行了比较，以检测左心室的边界。该方法包括一个预处理步骤，随后是边缘检测本身。最佳的预处理是一种非线性“变体”滤波，其中每个像素被具有最小方差的3×3邻域的平均值所取代。给出最佳轮廓的边缘检测器是Sobel算子。二阶高通巴特沃斯滤波器也能提供良好的分割效果。
