可变形物体的轮廓的提取

边缘信息一直被认为是计算机视觉的重要特性。因而，边缘的检测与轮廓的提取是图象分析的重要步骤。对于边缘的检测，近年来，人们的研究兴趣更多的转向了局部能量的方法，这是一种基于局部相位的方法，它的特点是通过局部能量的最大值可以同时得到不同类型的边缘。在初步得到物体边缘后，本文应用Ｍ．Ｋａｓｓ１９８７年提出的蛇行模型的方法获取物体轮廓，蛇行模型比较适合于可变形物体的轮廓的提取，如：红血球。

Deformable Objects''''Contour Extraction

Edge information is regeded as important chalacteristics in computer vision. Thus, edge detection and contour extraction are key steps of image analysis. For edge detection, research intersts was tuned to local enemy method based on local phase in recent years. It's main feature is that we can obtain many types of edges simultaneously by detecting the maximum value of local energy. After that, we get the inihal edge. In order to obtain the objects' contour, the snakes madal presented by M. Kass in 1987 was applied. The model is suited to the contour extraction of deformable objects, For example, red blood cells.