Modern Algorithms for Image Processing by Vladimir Kovalevsky PDF Download

Download Modern Algorithms for Image Processing by Vladimir Kovalevsky PDF eBook free. The “Modern Algorithms for Image Processing: Computer Imagery by Example Using C#” is a great book for C# developers who work with digital image processing.

Description of Modern Algorithms for Image Processing by Vladimir Kovalevsky PDF

The “Modern Algorithms for Image Processing: Computer Imagery by Example Using C#” is a great book about Digital Image Processing. Vladimir Kovalevsky is the author of this book. For taking the maximum advantage from the book, the reader should have programming experience and access to an integrated development environment. 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.

Modern Algorithms for Image Processing by Vladimir KovalevskySome 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 colour 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.

Detail about Modern Algorithms for Image Processing by Vladimir Kovalevsky PDF

  • Name: Modern Algorithms for Image Processing: Computer Imagery by Example Using C#
  • Author: Vladimir Kovalevsky
  • ISBN: 148424236X
  • Language: English
  • Genre: Image Processing, Microsoft C & C++ Windows Programming
  • Format: PDF/ ePub
  • Size: 11 MB
  • Page: 288
  • Price: Free

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