MRI of Human Brain Images Classification Based on Dirichlet Laplacian
MRI of Human Brain Images Classification Based on Dirichlet Laplacian is a scholarly work, published in 2014 in ''Journal of Engineering Science and Technology Review''. The main subjects of the publication include Laplace operator, magnetic resonance imaging, invariant, translation, artificial intelligence, image segmentation, boundary, computer vision, Dirichlet distribution, rotation, mathematics, pattern recognition, and computer science. 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.