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Image Processing - 2nd Edition by Maria M P Petrou & Sei-Ichiro Kamata (Hardcover)
About this item
Highlights
- 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.
- About the Author: The late MARIA PETROU was a Greek-born British scientist who specialised in the fields of artificial intelligence and machine vision.
- 816 Pages
- Technology, Imaging Systems
Description
About the Book
"Image Processing: Dealing with Textures (2006) has been, for some time, the only book focusing solely on image texture analysis theory, and remains the classic advanced text on the topic. This welcome update brings the original into the 21st century, without abandoning the foundational essentials of this milestone work. Revising author Sei-ichiro Kamata has provided a sympathetic and respectful revision of the late Maria Petrou's original, and delivers an extensive and exhaustive reappraisal worthy of her memory. Chapters receiving complete overhauls include Fractals and Multifractals, Image Statistics, Texture Repair, Local phase Features, Dual tree Complex Wavelet Transform, Ridgelets and Curvelets, and Deep Texture Features. Image Processing: Dealing with Textures 2nd Edition continues the analysis of texture in digital images which are essential to a range of applications in areas as diverse as robotics, defense, medicine and the geo-sciences. It is structured around a series of questions and answers, enabling readers to easily locate information on specific problems. Readers must have some elementary knowledge of Image Processing and Mathematics; there are more advanced topics in this new edition"--Book 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.
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.
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.