Image Processing and Machine Learning, Volume 1: Foundations of Image Processing

Image processing and machine learning are used to analyze and understand images. This book is a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of image processing methods and approaches. It is divided into two volumes, with the first installment exploring the fundamental concepts and techniques and the second installment covering more advanced topics.

Format: Hardback
Length: 210 pages
Publication date: 16 February 2024
Publisher: Taylor & Francis Ltd

Image processing and machine learning are powerful tools used in conjunction to analyze and understand images. Image processing involves pre-processing images through techniques such as filtering, segmentation, and feature extraction, while machine learning algorithms interpret the processed data through classification, clustering, and object detection. This comprehensive textbook serves as a valuable resource for students and instructors in the field of image processing, covering both theoretical foundations and practical applications of various image processing methods and approaches.

Divided into two volumes, this first installment delves into the fundamental concepts and techniques of image processing. It begins by exploring pixel operations and their properties, covering spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. This foundational knowledge provides readers with a solid understanding of the core principles and practical applications of image processing, laying the groundwork for further explorations in Volume 2.

Written with instructors and students of image processing in mind, this textbook offers an intuitive organization that is also appealing to app developers and engineers. Each chapter is well-structured, with clear explanations, examples, and exercises to reinforce learning. Additionally, the book includes a comprehensive bibliography and references for further reading, making it an essential resource for anyone interested in advancing their knowledge in this field.

In conclusion, this textbook is a must-have for anyone seeking to gain a deep understanding of image processing and machine learning. Its comprehensive coverage, intuitive writing style, and practical applications make it an invaluable resource for students, instructors, and professionals alike. Whether you are interested in image analysis, computer vision, or medical imaging, this book will provide you with the knowledge and tools you need to succeed in your endeavors.

Weight: 570g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032234588