catalog
Home
>

Higher Education

shoe image

Image Processing, Analysis, and Machine Vision with MindTap

Author(s): Milan Sonka | Vaclav Hlavac | Roger Boyle

ISBN: 9789386858146

4th Edition

Copyright: 2015

India Release: 2017

₹1095

Binding: Paperback

Pages: 912

Trim Size: 241 x 181 mm

Refer Book

Order Inspection Copy

The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.

  • The book provides a suggestion for partitioning contents with possible course outlines.
  • PowerPoint slides with images and chapter summaries are available for download.
  • Each chapter includes references, exercises, and a concise summary section.
  • The "Problems and Exercises" section has been moved back to the book.
  • The new edition includes 15% newly written material with state-of-the-art methods and techniques.
  • New topics include Radon transform, nearest neighbor classification, random forests, Markov random fields, and SIFT.
  • Chapters 12 and approaches to 3D vision have been entirely rewritten.
  • Includes MindTap which is an interactive, customizable and complete learning solution. It includes a MindTap Reader and a library of learning apps (e.g., CNOW, Aplia, ReadSpeaker, Merriam-Webster dictionary, MyContent, RSS Feed, Kaltura, Progress app, etc.).

List of Algorithms

Preface

Possible Course Outlines

1. Introduction

2. The Image, Its Representations and Properties

3. The Image, Its Mathematical and Physical Background

4. Data Structures for Image Analysis

5. Image Pre-Processing

6. Segmentation I

7. Segmentation II

8. Shape Representation and Description

9. Object Recognition

10. Image Understanding

11. 3d Geometry, Correspondence, 3d from Intensities.

12. Reconstruction from 3d.

13. Mathematical Morphology.

14. Image Data Compression.

15. Texture.

16. Motion Analysis.

Index.

Milan Sonka, University of Iowa

Milan Sonka is Professor of Electrical and Computer Engineering at the University of Iowa.

Vaclav Hlavac, Czech Technical University of Prague

Vaclav Hlavac is Professor of Cybernetics at the Czech Technical University, Prague.

Roger Boyle, University of Leeds, United Kingdom

Roger Boyle is Professor Emeritus of Computing and was Head of the School of Computing at the University of Leeds, England where his research interests are low-level vision and pattern recognition.