Artificial Neural Networks Applied to Digital Images with MATLAB Code | 2nd Edition

Muhammad Atta Othman A. Khfagy

ISBN 10: 6209788807 / ISBN 13: 9786209788802

Verlag: LAP LAMBERT Academic Publishing, 2026

Artificial Neural Networks Applied to Digital Images with MATLAB Code | 2nd Edition | Muhammad Atta Othman A. Khfagy | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209788802 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 135057068

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor: Dr. Muhammad A. Khfagy was born on 14 March 1985 in Sohag, Egypt. He received a Bachelor of Science in Computer Science in 2006 and a Master of Science in Computer Science in 2013. His research interests include machine learning and the application of artificial intelligence across various fields.

Bibliografische Details

Titel: Artificial Neural Networks Applied to ...
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2026
Einband: Taschenbuch
Zustand: Neu