Medical image processing based on mathematical morphology

Abstract

In the thesis, the author proposes an approach of image processing based on the features of medical image. First, using the space domain to enhance the image and improve clarity. And then process it by using mathematical morphology. Mathematical morphology is a method of nonlinear filters, which could be used for image processing including noise suppression, feature extraction, edge detection, image segmentation, shape recognition, texture analysis, image restoration and reconstruction, image compression etc. the method has been more and more widely used. © The Authors.