Detecting corresponding segments across images using synchronizable pulse-coupled neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2001, Pages 820-825

  Zhang, X ^a   Minai, A A ^a  

^a University of Cincinnati   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MOTION ESTIMATION; OBJECT RECOGNITION;

BIDIRECTIONAL GATED BLOCK MATCHING ALGORITHM; MOTION DETECTION; MOTION SEGMENTATION; PULSE COUPLED NEURAL NETWORKS; VIDEO SEQUENCE;

NEURAL NETWORKS;

EID: 0034862806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Motion segmentation based on motion/brightness integration and oscillatory correlation
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5. Oscillatory responses in cat visual cortex exhibit intercolumnar synchronization which reflects global stimulus properties
6. Stimulus-specific neuronal oscillations in the orientation columns of cat visual cortex
7. PCNN models and applications
8. Perfect image segmentation using pulse coupled neural networks
9. A neural cocktail party processor
10. Locally excitatory globally inhibitory oscillatory networks
11. Image segmentation based on oscillatory correlation
12. Fast algorithms for estimation of motion vectors