Authors:
Makram Mestiri
;
Sami Bourouis
and
Kamel Hamrouni
Affiliation:
National Engineering School of Tunis and University of Tunis, Tunisia
Keyword(s):
Mesh, 3D segmentation, Registration, Thin-plate spline, Atlas, Skull bones.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Image and Video Analysis
;
Methodologies and Methods
;
Model-Based Object Tracking in Image Sequences
;
Motion, Tracking and Stereo Vision
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Segmentation and Grouping
;
Sensor Networks
;
Soft Computing
Abstract:
Mesh segmentation has become a crucial step in many computer graphics applications. This paper provides new method for three dimension Atlas based mesh segmentation using thin plate spline approach (TPS) and a new FNN algorithm. This method consists of three steps: first, we apply a rigid registration between two meshes the atlas and the mesh to segment. The second step is the application of an elastic registration using thin plate spline method. The last step is the identification of the different regions to segment the mesh using our FNN algorithm. We tested the performance of our method on synthetic images and on a real human skull and found that the preliminary results obtained are satisfactory.