A Conic Radon-based Convolutional Neural Network for Image Recognition

This article presents a new approach for image recognition that proposes to combine Conical Radon Transform (CRT) and Convolutional Neural Networks (CNN). In order to evaluate the performance of this approach for pattern recognition task, we have built a Radon descriptor enhancing features extracted...

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Veröffentlicht in:	International journal of intelligent systems and applications 2023-02, Vol.15 (1), p.1-12
Hauptverfasser:	Hamdi, Dhekra El, Elouedi, Ines, Nguyen, Mai K, Hamouda, Atef
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Datasets Neural networks Object recognition Parameters Pattern recognition Performance evaluation Radon transformation Traffic control Traffic signs
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