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

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 classificationWith 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.

Author:

Laxmi Narayan Soni

Publisher:

Notion Press

Publication Date:

Feb 11, 2025

Number of pages:

00050 pages

Binding:

Paperback or Softback

ISBN-10:

NA

ISBN-13:

9798897246014