Study of medical image segmentation algorithm based multi-wavelet analysis

Recently, with the rapid development of biomedical imaging technology, image segmentation technology has become the key technology of the medical image processing and analysis in order to extract the information from the medical images and to do the various following processing accurately. In this paper, considering the margin and the region of the object synthetically, we use the multi-resolution analysis theory and the method of minimizing regional uniformity to get the optimal threshold value to do the medical image segmentation. Through image segmentation processing and comparative experiments of the computer tomography medical images, we prove that this method can get comparatively clearer interested areas, and relatively legibled edge features, and the definition of the image also has been improved obviously.