MRI of Human Brain Images Classification Based on Dirichlet Laplacian

Abstract

In [1], Dirichlet Laplacian (DL) was used to develop a three generic and robust set of features that are size-, translation-, and rotation-invariant that showed to be tolerant to boundary noise and deformation. The prescribed technique was applied to develop an efficient algorithm to classify the magnetic resonance images (MRI) and distinguish between the normal and abnormal images.