Wavelet network-based deep learning system for image classification

Dorsaf Blel; Salima Hassairi; Ridha Ejbali

doi:10.1117/12.2623289

4 March 2022 Wavelet network-based deep learning system for image classification

Dorsaf Blel, Salima Hassairi, Ridha Ejbali

Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021); 120841B (2022) https://doi.org/10.1117/12.2623289
Event: Fourteenth International Conference on Machine Vision (ICMV 2021), 2021, Rome, Italy

Abstract

The problem addressed in this paper is feature extraction and classification of images. As a solution, we proposed a Deep Wavelet Network architecture based on the Wavelet Network and the Stacked Auto-encoders. In this work, we shifted from the deep learning based on neural networks to deep learning based on wavelet networks. The latter doesn’t change the general form of the Deep Learning based on the Neural Network but it is a novel method that shows the process of feature extraction and explains the system of image classification. Our Deep Wavelet Network is created for the training and the classification phase. After the training phase, a linear classifier is applied. Finally, the experimental test of our method is in the COIL-100 dataset.

Citation Download Citation

Dorsaf Blel, Salima Hassairi, and Ridha Ejbali "Wavelet network-based deep learning system for image classification", Proc. SPIE 12084, Fourteenth International Conference on Machine Vision (ICMV 2021), 120841B (4 March 2022); https://doi.org/10.1117/12.2623289

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