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Guide to Signals and Patterns in Image Processing

Foundations, Methods and Applications

  • Apurba Das

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Apurba Das
    Pages 1-42
  3. Apurba Das
    Pages 43-92
  4. Apurba Das
    Pages 149-190
  5. Apurba Das
    Pages 269-298
  6. Back Matter
    Pages 413-416

About this book

Introduction

This unique text/reference reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition.

The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of elegant, worked-out numerical problems are also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices.

Topics and features:

  • Introduces the processes of sampling, quantization and encoding of images, as well as the operations of convolution and correlation, and the basic geometric transformations
  • Covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain
  • Describes the basics of the physics of light and color, and of the psycho-visual color system
  • Reviews compression methods and formats for encoding images
  • Discusses morphology-based image processing, which bridges signal processing and pattern recognition perspectives
  • Examines state-of-the-art applications of techniques for feature extraction, selection, and reduction
  • Investigates the modeling of object recognition in the human visual system for computer vision
  • Provides electronic supplementary material, including MATLAB and C++ code, interactive GUI-based modules, and teaching slides at an associated website

Appealing to a broad audience of students, tutors, researchers and professionals, this work offers an indispensable guide to image processing, pattern recognition and computer vision. The coverage draws upon the author’s extensive experience in academic teaching and training, government R&D, and private industry.

Keywords

Digital Image Processing Pattern Recognition Psycho-Visual Computer Vision Signal Processing Statistical Pattern Analysis

Authors and affiliations

  • Apurba Das
    • 1
  1. 1.HCL Technologies Ltd.ChennaiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-14172-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-14171-8
  • Online ISBN 978-3-319-14172-5
  • Buy this book on publisher's site
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