Items related to Image Processing and Machine Learning, Volume 2
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 second installment explores the more advanced concepts and techniques in image processing, including morphological filters, color image processing, image matching, feature-based segmentation utilizing the mean shift algorithm, and the application of singular value decomposition for image compression. This second volume also incorporates several important machine learning techniques applied to image processing, building on the foundational knowledge introduced in Volume 1.
Written with instructors and students of image processing in mind, this book’s intuitive organization also contains appeal for app developers and engineers.
"synopsis" may belong to another edition of this title.
About the Author
Erik Cuevas, Alma Nayeli Rodríguez
"About this title" may belong to another edition of this title.
- PublisherChapman and Hall/CRC
- Publication date2024
- ISBN 10 1032660325
- ISBN 13 9781032660325
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages238
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Image Processing and Machine Learning, Volume 2 (Hardcover)
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Taylor & Francis Ltd, London, 2024
ISBN 10: 1032660325
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Hardcover. Condition: new. 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 second installment explores the more advanced concepts and techniques in image processing, including morphological filters, color image processing, image matching, feature-based segmentation utilizing the mean shift algorithm, and the application of singular value decomposition for image compression. This second volume also incorporates several important machine learning techniques applied to image processing, building on the foundational knowledge introduced in Volume 1.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. Seller Inventory # 9781032660325
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Image Processing and Machine Learning : Advanced Topics in Image Analysis and Machine Learning
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Image Processing and Machine Learning: Advanced Topics in Image Analysis and Machine Learning: Vol 2
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