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

Part I: Image Processing -- Chapter 1: Introduction -- Chapter 2: Noise Reduction -- Chapter 3: Contrast Enhancement -- Chapter 4: Shading Correction with Thresholding -- Chapter 5: Project "WFshadBinImpulse" -- Part II: Image Analysis -- Chapter 6: Edge Detection -- Chapter 7: A New Method of Edge Detection -- Chapter 8: A New Method of image Compression -- Chapter 9: Image Segmentation and Connected Components -- Chapter 10: Straightening Photos of Paintings -- Chapter 11: Polygonal Approximation of Region Boundaries and Edges -- Chapter 12: Recognition and Measurement of Circular Objects -- Chapter 13: Recognition of Bicycles in Traffic -- Appendix A: References.;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. 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. The Encyclopaedia of Mathematics is the most up-to-date, authoritative and comprehensive English-language work of reference in mathematics which exists today. With over 7,000 articles from `A-integral' to `Zygmund Class of Functions', supplemented with a wealth of complementary information, and an index volume providing thorough cross-referencing of entries of related interest, the Encyclopaedia of Mathematics offers an immediate source of reference to mathematical definitions, concepts, explanations, surveys, examples, terminology and methods. The depth and breadth of content and the straightforward, careful presentation of the information, with the emphasis on accessibility, makes the Encyclopaedia of Mathematics an immensely useful tool for all mathematicians and other scientists who use, or are confronted by, mathematics in their work. The Enclyclopaedia of Mathematics provides, without doubt, a reference source of mathematical knowledge which is unsurpassed in value and usefulness. It can be highly recommended for use in libraries of universities, research institutes, colleges and even schools. Front Matter ....Pages i-xiv Front Matter ....Pages 1-1 Introduction (Vladimir Kovalevsky)....Pages 3-4 Noise Reduction (Vladimir Kovalevsky)....Pages 5-42 Contrast Enhancement (Vladimir Kovalevsky)....Pages 43-64 Shading Correction with Thresholding (Vladimir Kovalevsky)....Pages 65-80 Project WFshadBinImpulse (Vladimir Kovalevsky)....Pages 81-83 Front Matter ....Pages 85-85 Edge Detection (Vladimir Kovalevsky)....Pages 87-99 A New Method of Edge Detection (Vladimir Kovalevsky)....Pages 101-125 A New Method of Image Compression (Vladimir Kovalevsky)....Pages 127-165 Image Segmentation and Connected Components (Vladimir Kovalevsky)....Pages 167-186 Straightening Photos of Paintings (Vladimir Kovalevsky)....Pages 187-203 Polygonal Approximation of Region Boundaries and Edges (Vladimir Kovalevsky)....Pages 205-226 Recognition and Measurement of Circular Objects (Vladimir Kovalevsky)....Pages 227-242 Recognition of Bicycles in Traffic (Vladimir Kovalevsky)....Pages 243-260 A Computer Model of Cell Differentiation (Vladimir Kovalevsky)....Pages 261-266 Back Matter ....Pages 267-274 V. 1. A-integral--coordinates -- V. 2. Coproduct--hausdorff-young Inequalities -- V. 3. Heaps And Semi-heaps--moments, Methods Of (in Probability Theory) -- V. 4. Monge-ampère Equation--rings And Algebras -- V. 5. Risk Of A Statistical Procedure--zygmund Class Of Functions -- V. 6. Subject Index-author Index. [managing Editor, M. Hazewinkel]. This Trade Edition In 6 Volumes Is An Unabridged Reprint Of The Original 10-volume Hardbound Library Edition. Volume 6 Is A Subject And Author Index. Includes Bibliographical References. V.1. A-B v.2. C v.3. D-Feynman Measure. v.4. Fibonaccimethod H v.5. Lituus v.6. Lobachevskii Criterion (for Convergence)-Optical Sigman-Algebra. v.7. Orbit-Rayleigh Equation. v.8. Reaction-Diffusion Equation-Stirling Interpolation Formula. v.9. Stochastic Approximation-Zygmund Class of Functions. v.10. Subject Index-Author Index