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Guide to Signals and Patterns in Image Processing

Foundations, Methods and Applications

  • Textbook
  • © 2015

Overview

Authors:
  1. Apurba Das

    1. HCL Technologies Ltd., Chennai, India

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  • Provides an integrated presentation of digital image processing and pattern recognition

  • Supplies software for applications developed using Adobe Flash, Matlab and C++, for hands-on practice

  • Discusses state-of-art research and applications, and provides solved problems

  • Includes supplementary material: sn.pub/extras

  • Request lecturer material: sn.pub/lecturer-material

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxiv
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  2. Introduction to Digital Image

    • Apurba Das
    Pages 1-42

  3. Image Enhancement in Spatial Domain

    • Apurba Das
    Pages 43-92

  4. Interpretation and Processing of Image in Frequency Domain

    • Apurba Das
    Pages 93-147

  5. Color Science and Color Technology

    • Apurba Das
    Pages 149-190

  6. Wavelets: Multiresolution Image Processing

    • Apurba Das
    Pages 191-221

  7. Compression and Encoding of Image: Image Formats

    • Apurba Das
    Pages 223-267

  8. Morphology-Based Image Processing

    • Apurba Das
    Pages 269-298

  9. Patterns in Images and Their Applications

    • Apurba Das
    Pages 299-339

  10. Psycho-visual pattern recognition: Computer Vision

    • Apurba Das
    Pages 341-363

  11. Appendix A: Digital Differentiation and Edge Detection

    • Apurba Das
    Pages 365-381

  12. Appendix B: Elementary Probability Theory

    • Apurba Das
    Pages 383-397

  13. Appendix C: Frequently Used MATLAB Functions

    • Apurba Das
    Pages 399-412

  14. Back Matter

    Pages 413-416
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Keywords

About this book

This text 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 worked-out numerical problems is 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. Features: covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain; reviews compression methods and formats for encoding images; discusses morphology-based image processing; investigates the modeling of object recognition in the human visual system; provides supplementary material, including MATLAB and C++ code, and interactive GUI-based modules, at an associated website.

Authors and Affiliations

  • HCL Technologies Ltd., Chennai, India

    Apurba Das

About the author

Apurba Das is a Technical Specialist in the Image Processing Lab at HCL Technologies, Chennai, India. He has previously served as a Scientist in the Advanced Image Processing Lab at the Centre for Development of Advanced Computing, a R&D organization of the Indian Government Ministry of Communications and Information Technology. His other Springer publications include the books Signal Conditioning: An Introduction to Continuous Wave Communication and Signal Processing and Digital Communication: Principles and System Modelling.

Bibliographic Information

  • Book Title: Guide to Signals and Patterns in Image Processing

  • Book Subtitle: Foundations, Methods and Applications

  • Authors: Apurba Das

  • DOI: https://doi.org/10.1007/978-3-319-14172-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-14171-8Published: 05 May 2015

  • Softcover ISBN: 978-3-319-37799-5Published: 17 October 2016

  • eBook ISBN: 978-3-319-14172-5Published: 22 April 2015

  • Edition Number: 1

  • Number of Pages: XXIV, 416

  • Number of Illustrations: 270 b/w illustrations, 102 illustrations in colour

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Signal, Image and Speech Processing

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