Homogeneity Measures for Multiphase Level Set Segmentation of Brain MRI
Elsa D. Angelini, Ting Song, Andrew F. Laine · 2006
This paper presents a new homogeneity measure for variational segmentation with multiple level set functions. We propose to modify the quadratic homogeneity measure to trade off the convexity of the function against a faster rate of convergence. We tested in two series of experiments the performance of this new homogeneity force at converging to appropriate partitioning of brain MRI data sets, over a large range of image spatial resolution and image quality, in terms of tissue homogeneity and contrast.