Image processing for image understanding with neural nets
- 1 January 1989
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 111-115 vol.1
- https://doi.org/10.1109/ijcnn.1989.118567
Abstract
The image-processing techniques required for an image-understanding system are considered. Although many of the image-processing steps can be implemented with neural nets, it is found that only the classification stage is currently optimally implemented in this way. Conventional methods of image processing that can be used in conjunction with neural net classifiers are described. A case study employing these concepts is presented. Optical realizations of many operations are noted.Keywords
This publication has 15 references indexed in Scilit:
- Ill-posed problems in early visionProceedings of the IEEE, 1988
- Distortion invariant character recognition by a multi-layer perceptron and back-propagation learningPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988
- The use of neural networks in PSRI target recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988
- An optical Fourier/electronic neurocomputer automated inspection systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988
- Tutorial On Advances In Morphological Image Processing And AnalysisOptical Engineering, 1987
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987
- Computer Generated Holograms In Pattern Recognition: A ReviewPublished by SPIE-Intl Soc Optical Eng ,1985
- Biomedical Image ProcessingComputer, 1983
- Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in positionBiological Cybernetics, 1980
- Restart procedures for the conjugate gradient methodMathematical Programming, 1977