Artificial Neural Networks Applied to Digital Images with MATLAB Code: 2nd Edition - Couverture souple

Othman A. Khfagy, Muhammad Atta

Couverture souple

ISBN 10 : 6209788807 ISBN 13 : 9786209788802

Editeur : LAP LAMBERT Academic Publishing, 2026

Synopsis

Artificial Neural Networks have broad applications in real-world business problems and have been successfully applied across many industries. As they excel at identifying patterns and trends in data, they are well suited for prediction and forecasting tasks such as sales forecasting, industrial process control, customer research, data validation, risk management, and target marketing. This work examines the use of Artificial Neural Networks in the field of image processing. One of the applications studied is edge detection, which significantly reduces data volume and filters out irrelevant information while preserving essential structural features of an image. Edge detection is widely used in various fields, ranging from real-time video surveillance and traffic management to medical imaging. The study presents both entropy-based and neural network-based edge detection methods, specifically using Rényi's entropy and convolutional neural networks, and compares their performance.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 6209788807
• ISBN 13: 9786209788802
• Reliure: Broché
• Nombre de pages: 152
• Coordonnées du fabricant: non disponible
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