Multiresolution Medical Image Segmentation Based on Wavelet Transform

The wavelet transform always is used to analyze image. The watershed transformation is a useful morphological segmentation tool for a variety of grey-scale image. In this paper, an efficient segmentation method for medical image analysis is presented, which combines pyramidal image segmentation with hierarchical watershed segmentation algorithm. The segmentation procedure consists of pyramid representation, image segmentation, region merging and region projection. Each layer of pyramid is split into a number of regions by a root labeling technique, and the regions are projected onto next higher-resolution layer by reverse wavelet transform. The projection gradually achieve onto full-resolution layer so that segmentation is ended. Morphologic operation is used to smooth original image while filtering out noise. We have applied our new approach to analyze medical image. Experimental results demonstrate the method effective.