PROCEEDINGS VOLUME 2664
ELECTRONIC IMAGING: SCIENCE AND TECHNOLOGY | 28 JANUARY - 2 FEBRUARY 1996
Applications of Artificial Neural Networks in Image Processing
ELECTRONIC IMAGING: SCIENCE AND TECHNOLOGY
28 January - 2 February 1996
San Jose, CA, United States
Neural Network Architectures for Image Coding
Proc. SPIE 2664, Adaptive neural network vector predictor, 0000 (4 March 1996); doi: 10.1117/12.234243
Proc. SPIE 2664, Finite-state neural networks for dimensionality reduction and smooth signal reconstruction, 0000 (4 March 1996); doi: 10.1117/12.234253
Proc. SPIE 2664, Block distortion assessment for image compression through ANNs, 0000 (4 March 1996); doi: 10.1117/12.234259
Proc. SPIE 2664, Color image compression using neural network prediction of color components, 0000 (4 March 1996); doi: 10.1117/12.234260
Proc. SPIE 2664, Color vector quantization by competitive learning, 0000 (4 March 1996); doi: 10.1117/12.234261
Proc. SPIE 2664, Self-organized neural network approach to color image separation, 0000 (4 March 1996); doi: 10.1117/12.234262
Fuzzy and Neural Classification, Segmentation and Feature Extraction
Proc. SPIE 2664, Fuzzy c-means approach to tissue classification in multimodal medical imaging, 0000 (4 March 1996); doi: 10.1117/12.234263
Proc. SPIE 2664, Fuzzy cellular neural network for image enhancement, 0000 (4 March 1996); doi: 10.1117/12.234264
Proc. SPIE 2664, Image segmentation using modified neural network techniques, 0000 (4 March 1996); doi: 10.1117/12.234265
Proc. SPIE 2664, Neural network architecture for automatic chromosome analysis, 0000 (4 March 1996); doi: 10.1117/12.234244
Proc. SPIE 2664, Filter selection using genetic algorithms, 0000 (4 March 1996); doi: 10.1117/12.234245
Proc. SPIE 2664, Synthesis of combinational schemes and processing of discrete images in threshold basis, 0000 (4 March 1996); doi: 10.1117/12.234246
Neural Networks for Object Classification and Labeling
Proc. SPIE 2664, Hybrid parametric case-based approach to object recognition using Bayes decision theory, 0000 (4 March 1996); doi: 10.1117/12.234247
Proc. SPIE 2664, Automatic tracking of land cover transformation through Landsat multispectral scanner (MSS) images using neural network classifiers, 0000 (4 March 1996); doi: 10.1117/12.234248
Proc. SPIE 2664, Hierarchical multilayer perceptron neural network for the recognition of the automobile license plate number, 0000 (4 March 1996); doi: 10.1117/12.234249
Proc. SPIE 2664, Textural features and neural network for image classification, 0000 (4 March 1996); doi: 10.1117/12.234250
Proc. SPIE 2664, Artificial retinal neural network for visual pattern recognition, 0000 (4 March 1996); doi: 10.1117/12.234251
Proc. SPIE 2664, Target classification in an optical/digital hybrid neural processor, 0000 (4 March 1996); doi: 10.1117/12.234252
Optimization and Learning
Proc. SPIE 2664, Limited-angle tomography using artificial neural network, 0000 (4 March 1996); doi: 10.1117/12.234254
Proc. SPIE 2664, Relaxation matching by the Hopfield neural network, 0000 (4 March 1996); doi: 10.1117/12.234255
Proc. SPIE 2664, Extracting peak statistics with recurrent network for detecting dim point-source targets in IR noise, 0000 (4 March 1996); doi: 10.1117/12.234256
Proc. SPIE 2664, Ultrafast learning in a hard-limited neural network pattern recognizer, 0000 (4 March 1996); doi: 10.1117/12.234257
Proc. SPIE 2664, Using genetic algorithms to construct a network for financial prediction, 0000 (4 March 1996); doi: 10.1117/12.234258
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