EDGE DETECTION AND DENOISING MEDICAL IMAGE USING MORPHOLOGY

Medical images edge detection is an important work for object recognition of the human organs and it is an important pre-processing step in medical image segmentation and 3D reconstruction. Conventionally, edge is detected according to some early brought forward algorithms such as gradient-based algorithm and templatebased algorithm, but they are not so good for noise medical image edge detection. Although some morphological edge detectors also have been proposed but they are based on fixed structure elements. In this paper, basic mathematical morphological theory and operations are introduced at first, and then a novel mathematical morphological edge detection algorithm based on multi shape structure, is proposed to detect the edge of lungs CT image with salt-and-pepper noise. The experimental results show that the proposed algorithm is more efficient for medical image de-noising and edge detection than the usually used template-based edge detection algorithms and general morphological edge detection algorithms