Automatic registration of complex images using a self organizing neural system

Author

Sabisch, Theo ; Ferguson, Alistair ; Bolouri, Hamid

Author_Institution

Eng. R&D Centre, Hertfordshire Univ., Hatfield, UK

Volume

1

fYear

1998

fDate

4-8 May 1998

Firstpage

165

Abstract

We present a system for automatic mapping of complex gray-scale images onto each other. The system includes a neocognitron-like structure for hierarchical feature extraction, a 3D self organising map to determine feature classes for unsupervised training, and algorithmic methods for landmark correspondence and image warping. We present results showing successful registration of MRI brain scans from different subjects

Keywords

biomedical NMR; feature extraction; image registration; image segmentation; medical image processing; self-organising feature maps; unsupervised learning; 3D self organising map; MRI brain scans; algorithmic methods; automatic mapping; automatic registration; complex gray-scale images; feature classes; hierarchical feature extraction; image warping; landmark correspondence; neocognitron-like structure; self organizing neural system; unsupervised training; Biological neural networks; Gray-scale; Image recognition; Image registration; Image segmentation; Iterative algorithms; Magnetic resonance imaging; Organizing; Remote monitoring; Research and development;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.682256

Filename

682256