Open AccessA Review on Registration of Medical Images Using Graph Theoretic Approaches
Author(s) -
R Akshaya,
Hema P Me
Publication year - 2018
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v12.i3.pp974-983
Subject(s) - image registration , computer vision , artificial intelligence , computer science , graph , focus (optics) , image (mathematics) , process (computing) , theoretical computer science , physics , optics , operating system
Image registration is very essential for image analysis especially in the medical field. The registered image helps us to find a lot of things like the presence of a tumor, aneurysm, and many more. Image registration is a process of aligning two images that were captured during different conditions that makes analyzing of images possible. There are various methods in which images can be registered. This paper mainly discusses the methods that use the graph approach to register the medical images. The main focus is on rigid and non-rigid registration techniques and gives a brief description of the methods present.