Image Processing: Dealing with Texture - Hardcover

Petrou, Maria M. P.; Kamata, Sei-ichiro

Hardcover

ISBN 10: 111961855X ISBN 13: 9781119618553

Publisher: Wiley, 2021

Synopsis

The classic text that covers practical image processing methods and theory for image texture analysis, updated second edition

The revised second edition of Image Processing: Dealing with Textures updates the classic work on texture analysis theory and methods without abandoning the foundational essentials of this landmark work. Like the first, the new edition offers an analysis of texture in digital images that are essential to a diverse range of applications such as: robotics, defense, medicine and the geo-sciences.

Designed to easily locate information on specific problems, the text is structured around a series of helpful questions and answers. Updated to include the most recent developments in the field, many chapters have been completely revised including: Fractals and Multifractals, Image Statistics, Texture Repair, Local Phase Features, Dual Tree Complex Wavelet Transform, Ridgelets and Curvelets and Deep Texture Features. The book takes a two-level mathematical approach: light math is covered in the main level of the book, with harder math identified in separate boxes. This important text:

Contains an update of the classic advanced text that reviews practical image processing methods and theory for image texture analysis

Puts the focus exclusively on an in-depth exploration of texture

Contains a companion website with exercises and algorithms

Includes examples that are fully worked to enhance the learning experience

Written for students and researchers of image processing, the second edition of Image Processing has been revised and updated to incorporate the foundational information on the topic and information on the latest advances.

About this title

About the Author

The late MARIA PETROU was a Greek-born British scientist who specialised in the fields of artificial intelligence and machine vision.

SEI-ICHIRO KAMATA is Professor, Graduate School of Information, Production and Systems, Waseda University, Japan.

From the Back Cover

THE CLASSIC TEXT THAT COVERS PRACTICAL IMAGE PROCESSING METHODS AND THEORY FOR IMAGE TEXTURE ANALYSIS, UPDATED SECOND EDITION

The revised second edition of Image Processing: Dealing with Texture updates the classic work on texture analysis theory and methods without abandoning the foundational essentials of this landmark work. Like the first, the new edition offers an analysis of texture in digital images that are essential to a diverse range of applications such as: robotics, defense, medicine and the geo-sciences.

Designed to easily locate information on specific problems, the text is structured around a series of helpful questions and answers. Updated to include the most recent developments in the field, many chapters have been completely revised including: Fractals and Multifractals, Image Statistics, Texture Repair, Local Phase Features, Dual Tree Complex Wavelet Transform, Ridgelets and Curvelets and Deep Texture Features. The book takes a two-level mathematical approach: light math is covered in the main level of the book, with harder math identified in separate boxes. This important text:

• Contains an update of the classic advanced text that reviews practical image processing methods and theory for image texture analysis
• Puts the focus exclusively on an in-depth exploration of texture
• Contains a companion website with exercises and algorithms
• Includes examples that are fully worked to enhance the learning experience

Written for students and researchers of image processing, the second edition of Image Processing has been revised and updated to incorporate the foundational information on the topic and information on the latest advances.

From the Inside Flap

THE CLASSIC TEXT THAT COVERS PRACTICAL IMAGE PROCESSING METHODS AND THEORY FOR IMAGE TEXTURE ANALYSIS, UPDATED SECOND EDITION

The revised second edition of Image Processing: Dealing with Texture updates the classic work on texture analysis theory and methods without abandoning the foundational essentials of this landmark work. Like the first, the new edition offers an analysis of texture in digital images that are essential to a diverse range of applications such as: robotics, defense, medicine and the geo-sciences.

Designed to easily locate information on specific problems, the text is structured around a series of helpful questions and answers. Updated to include the most recent developments in the field, many chapters have been completely revised including: Fractals and Multifractals, Image Statistics, Texture Repair, Local Phase Features, Dual Tree Complex Wavelet Transform, Ridgelets and Curvelets and Deep Texture Features. The book takes a two-level mathematical approach: light math is covered in the main level of the book, with harder math identified in separate boxes. This important text:

• Contains an update of the classic advanced text that reviews practical image processing methods and theory for image texture analysis
• Puts the focus exclusively on an in-depth exploration of texture
• Contains a companion website with exercises and algorithms
• Includes examples that are fully worked to enhance the learning experience

Written for students and researchers of image processing, the second edition of Image Processing has been revised and updated to incorporate the foundational information on the topic and information on the latest advances.

Edition details

• Publisher: Wiley
• Publication date: 2021
• Language: English
• ISBN 10: 111961855X
• ISBN 13: 9781119618553
• Binding: Hardcover
• Edition number: 2
• Number of pages: 816