{"product_id":"advanced-image-analysis-and-recognition-stochastic-processes-and-pattern-recognition-in-image-processing","title":"Advanced Image Analysis and Recognition: Stochastic Processes and Pattern Recognition in Image Processing","description":"\u003cp\u003eIn 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 youre 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.\u003c\/p\u003e","brand":"notionpress.com","offers":[{"title":"Default Title","offer_id":45869844398278,"sku":"DADAXB0DWTFBHFS","price":5.33,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0695\/9389\/1014\/files\/61vd0rDBUmL.jpg?v=1779430242","url":"https:\/\/ergodemedia.com\/products\/advanced-image-analysis-and-recognition-stochastic-processes-and-pattern-recognition-in-image-processing","provider":"Ergodemedia","version":"1.0","type":"link"}