Image Processing and Machine Learning, Volume 1
by Erik Cuevas, Alma Nayeli RodríguezEstimated delivery 3-12 business days
Format Hardcover
Condition Brand New
Description 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.
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 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 with instructors and students of image processing in mind, this book's intuitive organization also contains appeal for app developers and engineers.
- ISBN 103223458X
- ISBN-13 9781032234588
- Title Image Processing and Machine Learning, Volume 1
- Author Erik Cuevas, Alma Nayeli Rodríguez
- Format Hardcover
- Year 2024
- Pages 210
- Publisher Taylor & Francis Ltd
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