Textural features and neural network for image classification

Souad Haddadi; C. Fernandez; F. Abdelnour

doi:10.1117/12.234250

4 March 1996 Textural features and neural network for image classification

Souad Haddadi, C. Fernandez, F. Abdelnour

Proceedings Volume 2664, Applications of Artificial Neural Networks in Image Processing; (1996) https://doi.org/10.1117/12.234250
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

In this paper, we present a neural network approach for scene analysis: detection of human beings in images. To solve this problem, a precise classification system is required, with adaptation systems based on data processing. These systems must be largely parallel, which is why neural networks have been chosen. The first part of this text is a brief introduction to neural networks and their applications. The second part is a description of the image base composed for experiments and the low-level processing used, then we detail the method used to extract the texture feature of images. The third part describes the Bayesian method and its application to our problem. Part four shows the association of these texture processes with the neural network for identification of human beings. Finally, we conclude with the validity of the method and its future applications.

Citation Download Citation

Souad Haddadi, C. Fernandez, and F. Abdelnour "Textural features and neural network for image classification", Proc. SPIE 2664, Applications of Artificial Neural Networks in Image Processing, (4 March 1996); https://doi.org/10.1117/12.234250

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