Image Processing and Machine Learning, Volume 1 (Hardcover)

Erik Cuevas

ISBN 10: 103223458X / ISBN 13: 9781032234588

Edité par Taylor & Francis Ltd, London, 2024

Hardcover. Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.Divided into two volumes, this first installment explores the fundamental concepts and techniques in image processing, starting with pixel operations and their properties and exploring spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. It provides a solid foundation for readers interested in understanding the core principles and practical applications of image processing, establishing the essential groundwork necessary for further explorations covered in Volume 2.Written with instructors and students of image processing in mind, this books intuitive organization also contains appeal for app developers and engineers. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032234588

Synopsis :

Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.

Divided into two volumes, this first installment explores the fundamental concepts and techniques in image processing, starting with pixel operations and their properties and exploring spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. It provides a solid foundation for readers interested in understanding the core principles and practical applications of image processing, establishing the essential groundwork necessary for further explorations covered in Volume 2.

Written with instructors and students of image processing in mind, this book's intuitive organization also contains appeal for app developers and engineers.

À propos de l?auteur: Erik Cuevas, Alma Nayeli Rodríguez

Détails bibliographiques

Titre : Image Processing and Machine Learning, ...
Éditeur : Taylor & Francis Ltd, London
Date d'édition : 2024
Reliure : Hardcover
Etat : new