Verwandte Artikel zu Modern Algorithms for Image Processing: Computer Imagery...

Modern Algorithms for Image Processing: Computer Imagery by Example Using C# - Softcover

Kovalevsky, Vladimir

 
9781484242360: Modern Algorithms for Image Processing: Computer Imagery by Example Using C#
Softcover
ISBN 10: 148424236X ISBN 13: 9781484242360
Verlag: Apress, 2018

Inhaltsangabe

Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects 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 projects teach you methods for addressing the quality of images, such as reducing random errors or noise and suppressing pulse noise (salt and pepper), a method valuable for improving the quality of historical images. Other methods detail how to correct inhomogeneous illumination, not by means of subtracting the mean illumination, but through division, a far more efficient method. Additional projects cover contrasting, and a process for edge detection, more efficient than Canny's, for detecting edges in color images directly, without converting them into black and white images.


What You'll Learn

  • Apply innovative methods for suppressing pulse noise, enhancing contrast, and edge detection
  • Know the pros and cons of enlisting a particular method
  • Use new approaches for image compression and recognizing circles in photos
  • Utilize a valuable 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
  • Use a new method for detecting bicycles in traffic
  • Access complete source code examples in C# for all of the projects

Who This 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.

This book does not prove or disprove theorems, but suggests methods for learning valuable concepts that will enable you to customize your own image processing projects.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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 learnvaluable 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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Apress
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
148424236X
ISBN 13 
9781484242360
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
288
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Deutschland