Segmentation of volume images using a multiscale transform
This paper presents a new method for multiscale segmentation of volume images. The segmentation is achieved using a recent nonlinear transform which leads to well-characterized regions at different spatial and intensity scales. The detected three-dimensional regions are closed and are homogeneous relative to their surround. A pyramid is generated containing the region information extracted across a range of homogeneity scales. The pyramid represents the multiscale volumetric structure. Experimental results are given for magnetic resonance data as well as video sequences.