Texture Based Image Analysis With Neural Nets

Irina Ilovici; Hoo-Tee Ong; Kim Ostrander

doi:10.1117/12.969780

1 March 1990 Texture Based Image Analysis With Neural Nets

Irina Ilovici, Hoo-Tee Ong, Kim Ostrander

Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969780
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.969780

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