Author:
Porawat Visutsak
Affiliation:
Faculty of Applied Science and King Mongkut’s University of Technology North Bangkok (KMUTNB), Thailand
Keyword(s):
Autism, Image Registration, Medical Imaging.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
Fuzzy Image, Speech and Signal Processing, Vision and Multimedia
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial, Financial and Medical Applications
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
This paper presents a new method for the study of autistic brain image called “Template-based affine
registration”, based on the transformation of the grid-line from a source image to a target image. By using
the locations of grid of both source and target images as the control structure, together with a smart
transition of grid computed by bilinear and affine transformations. Besides, the new locations of grid of a
target image corresponding to a source image are the best-move of all feature points translated from a
source to a target. The template named after the point set extracted from source image, the simple idea is to
use the affine transformation for mapping the target point set to the template. The transformation process is
used effectively by using the incorporating transition of grid to maintain geometric alignment throughout
the process; the proposed method achieves a smooth transformation for image registration.