Modern Algorithms for Image Processing

Computer Imagery by Example Using C#

  • Vladimir¬†Kovalevsky

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Image Processing

    1. Front Matter
      Pages 1-1
    2. Vladimir Kovalevsky
      Pages 3-4
    3. Vladimir Kovalevsky
      Pages 5-42
    4. Vladimir Kovalevsky
      Pages 43-64
    5. Vladimir Kovalevsky
      Pages 65-80
    6. Vladimir Kovalevsky
      Pages 81-83
  3. Image Analysis

    1. Front Matter
      Pages 85-85
    2. Vladimir Kovalevsky
      Pages 87-99
    3. Vladimir Kovalevsky
      Pages 101-125
    4. Vladimir Kovalevsky
      Pages 127-165
    5. Vladimir Kovalevsky
      Pages 167-186
    6. Vladimir Kovalevsky
      Pages 187-203
    7. Vladimir Kovalevsky
      Pages 205-226
    8. Vladimir Kovalevsky
      Pages 227-242
    9. Vladimir Kovalevsky
      Pages 243-260
    10. Vladimir Kovalevsky
      Pages 261-266
  4. Back Matter
    Pages 267-274

About this book


Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects included in this book.

Modern Algorithms for Image Processing approaches the topic of image processing through teaching by example. Throughout the book, you will create projects that resolve typical problems that you might encounter in the world of digital image processing. Some example projects teach you how to address the quality of images, such as reducing random errors or noise. Other methods will teach you how to correct inhomogeneous illumination, not by means of subtracting the mean illumination, but through division, which is a far more efficient method. Additional projects cover contrasting, edge detection, and edge detection in color images, which are important concepts to understand for image analysis.

This book does not prove or disprove theorems, but instead details suggested methods to help you learn valuable concepts and how to customize your own image processing projects.

What You'll Learn:

  • Know the pros and cons of enlisting a particular method
  • Use new methods for image compression and recognizing circles in photos
  • Utilize a method for straightening photos of paintings taken at an oblique angle, a critical concept to understand when using flash at a right angle
  • Understand the problem statement of polygonal approximation of boundaries or edges and its solution
  • Access complete source code examples of all projects on GitHub

The book is for C# developers who work with digital image processing or are interested in informatics. The reader should have programming experience and access to an integrated development environment (IDE), ideally .NET.

Vladimir A. Kovalevsky holds a diploma in physics, a PhD in technical sciences, and a PhD in computer science. He has been a researcher, professor, and visiting professor at many esteemed universities worldwide, including the Central Institute of Cybernetics of the Academy of Sciences, University of Applied Sciences, and the Manukau Institute of Technology. Dr. Kovalevsky has been a plenary speaker at many conferences and his research interests include digital geometry, digital topology, computer vision, image processing, and pattern recognition. He has published four monographs and more than 180 journal and conference papers.


image processing C# image improvements noise reduction shading correction edge detection thresholding of images contrast enhancement image compression connected components rectifying photos of paintings polygonal approximation of boundaries recognition of geometrical objects recognition of bicycles in traffic algorithms for image processing

Authors and affiliations

  • Vladimir¬†Kovalevsky
    • 1
  1. 1.BerlinGermany

Bibliographic information

Industry Sectors
Chemical Manufacturing
Finance, Business & Banking
IT & Software
Consumer Packaged Goods
Energy, Utilities & Environment