Translator Disclaimer
1 March 1990 Texture Based Image Analysis With Neural Nets
Author Affiliations +
Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990)
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
In this paper, we combine direct image statistics and spatial frequency domain techniques with a neural net model to analyze texture based images. The resultant optimal texture features obtained from the direct and transformed image form the exemplar pattern of the neural net. The proposed approach introduces an automated texture analysis applied to metallography for determining the cooling rate and mechanical working of the materials. The results suggest that the proposed method enhances the practical applications of neural nets and texture extraction features.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Irina Ilovici, Hoo-Tee Ong, and Kim Ostrander "Texture Based Image Analysis With Neural Nets", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990);


Pattern Recognition Using A Neural Network
Proceedings of SPIE (February 19 1988)
ANN-implemented robust vision model
Proceedings of SPIE (February 01 1991)
Fruit shape classification using support vector machine
Proceedings of SPIE (September 10 2007)
Morphological granulometric shape recognition in noise
Proceedings of SPIE (August 20 1993)
Iterative neural networks for skeletonization and thinning
Proceedings of SPIE (February 01 1991)

Back to Top