Multi-object motion segmentation in image sequence based on cellular neural networks
- Author(s):
- Meng, S.K. ( Shanghai Univ. (China) )
- Mo, Y.L.
- Publication title:
- Electronic imaging and multimedia technology III : 15-17 October, 2002, Shanghai, China
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 4925
- Pub. Year:
- 2002
- Page(from):
- 29
- Page(to):
- 32
- Pages:
- 4
- Pub. info.:
- Bellingham, Washington: SPIE-The International Society for Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819447142 [0819447145]
- Language:
- English
- Call no.:
- P63600/4925
- Type:
- Conference Proceedings
Similar Items:
1
Conference Proceedings
New second-order difference algorithm for image segmentation based on cellular neural networks (CNNs)
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
2
Conference Proceedings
Cellular neural network architecture for Gibbs random field-based image segmentation
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
SPIE - The International Society for Optical Engineering |
4
Conference Proceedings
Adaptive-sized hybrid neural network for segmentation of breast cancer cells in pathology images
SPIE-The International Society for Optical Engineering |
SPIE - The International Society for Optical Engineering |
5
Conference Proceedings
Segmentation and analysis of breast cancer pathological images by an adaptive-sized hybrid neural network
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
6
Conference Proceedings
Motion estimation from image sequences: classical vs. neural-network-based approaches
SPIE-The International Society for Optical Engineering |
12
Conference Proceedings
Object-based coding of stereo image sequences using joint 3D motion/disparity segmentation
Society of Photo-optical Instrumentation Engineers |