Watershed segmentation algorithm for medical image based on anisotropic diffusion filtering
基于各向异性扩散的医学图像分水岭分割算法

Although watershed transformation is a powerful tool for image segmentation, it might give rise to over-segmentation. A novel medical image segmentation algorithm based on anisotropic diffusion filtering using watershed transformation was proposed. First, input image was got through adaptive anisotropic diffusion filter, and then, a multi-scale morphological grads image was obtained as the input of watershed so as to give prominence to the contours of the image and smooth the areas with even luminance. Experiments show that the algorithm can restrain the over-segmentation phenomena effectively, thus obtaining good segmentation results.