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In den WarenkorbBuch. Zustand: Neu. Neuware - 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.
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In den WarenkorbZustand: New. 1st edition NO-PA16APR2015-KAP.
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In den WarenkorbZustand: New.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032660325 ISBN 13: 9781032660325
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 103223458X ISBN 13: 9781032234588
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbHardcover. Zustand: Brand New. 288 pages. 9.19x6.13x0.70 inches. In Stock.
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In den WarenkorbHardcover. Zustand: Brand New. 214 pages. 9.19x6.13x0.73 inches. In Stock.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 103223458X ISBN 13: 9781032234588
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032660325 ISBN 13: 9781032660325
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
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In den WarenkorbHardcover. Zustand: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.