Title :
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
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;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.682256
