Advanced Image Analysis and Recognition : Stochastic Processes and Pattern Recognition in Image Processing

Laxmi Narayan Soni

ISBN 13: 9798897246014

Edité par Notion Press Media Pvt. Ltd Feb 2025, 2025

A propos de cet article

Neuware - In an era where artificial intelligence and computational imaging are transforming industries, Stochastic Processes and Pattern Recognition in Image Processing serves as a comprehensive guide to mastering probabilistic models, image segmentation, and pattern recognition techniques.

N° de réf. du vendeur 9798897246014

Détails bibliographiques

• Titre: Advanced Image Analysis and Recognition : Stochastic Processes and Pattern Recognition in Image Processing
• Éditeur: Notion Press Media Pvt. Ltd Feb 2025
• Date de parution: 2025
• Langue: anglais
• ISBN à 13 chiffres: 9798897246014
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

In an era where artificial intelligence and computational imaging are transforming industries, Stochastic Processes and Pattern Recognition in Image Processing serves as a comprehensive guide to mastering probabilistic models, image segmentation, and pattern recognition techniques.

This book explores the intersection of stochastic processes and computer vision, bridging fundamental mathematical theories with real-world applications. Covering topics such as Markov random fields, Bayesian inference, probabilistic deep learning, and graph-based segmentation, this book is designed to provide both students and professionals with the knowledge and tools necessary to build robust image processing algorithms.

Whether you're an academic researcher, a machine learning engineer, or an AI enthusiast, this book offers:
✔ In-depth explanations of stochastic models used in image analysis
✔ Step-by-step mathematical formulations and their practical implementations
✔ Real-world applications in medical imaging, autonomous systems, and remote sensing
✔ Hands-on techniques for enhancing object detection, segmentation, and classification

With a structured approach, practical examples, and advanced methodologies, this book is an indispensable resource for anyone looking to explore the power of probabilistic reasoning in image processing.