Practical Contour Compression Methods Using MATLAB

Ali Ukasha

ISBN 10: 6202790334 / ISBN 13: 9786202790338

Verlag: Noor Publishing Jan 2021, 2021

Beschreibung

Neuware -This book is an essential guide to the implementation of image processing techniques, with tutorial introductions and sample code in MATLAB. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. Fully updated with the latest developments in contour extraction & compression, including expanded tutorials and new techniques, this book contains extensive new material on DCT, Haar & wavelets. The material is timely, highly readable, and illustrated with numerous examples of practical significance. Image and contour compression mainstream areas of image processing in the spatial and frequency domains, are covered. Coverage concludes with a discussion on the fundamentals of object recognition. Chapters supported by figures, examples, illustrative problems, and exercises.Books on Demand GmbH, Überseering 33, 22297 Hamburg 184 pp. Englisch.

Bestandsnummer des Verkäufers 9786202790338

Bibliografische Details

• Titel: Practical Contour Compression Methods Using MATLAB
• Verlag: Noor Publishing Jan 2021
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 6202790334
• ISBN-13: 9786202790338
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This book is an essential guide to the implementation of image processing techniques, with tutorial introductions and sample code in MATLAB. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. Fully updated with the latest developments in contour extraction & compression, including expanded tutorials and new techniques, this book contains extensive new material on DCT, Haar & wavelets. The material is timely, highly readable, and illustrated with numerous examples of practical significance. Image and contour compression mainstream areas of image processing in the spatial and frequency domains, are covered. Coverage concludes with a discussion on the fundamentals of object recognition. Chapters supported by figures, examples, illustrative problems, and exercises.