Computer Science & Information Management

Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves
Kumar S. Ray, PhD
Bimal Kumar Ray, PhD

Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves

Published. Now Available
Pub Date: March 2013.
Hardback Price: See ordering info
Hard ISBN: 9781926895338
Paperback ISBN: 978-1-77463-264-2
E-Book ISBN: 9781466568891
Pages: 388pp
Binding Type: hardbound / ebook / paperback

Now Available in Paperback


This book covers the most important topics in the area of pattern recognition, object recognition, computer vision, robot vision, medical computing, computational geometry, and bioinformatics systems. Students and researchers will find a comprehensive treatment of polygonal approximation and its real life applications. The book not only explains the theoretical aspects but also presents applications with detailed design parameters. The systematic development of the concept of polygonal approximation of digital curves and its scale-space analysis are useful and attractive to scholars in many fields. Development for different algorithms of polygonal approximation and scale-space analysis and several experimental results with comparative study for measuring the performance of the algorithms are extremely useful for theoretical- and application-oriented works in the above-mentioned areas.

Polygonal approximation of digital curves has been cultivated by many researchers, but its scale-space analysis has not been thoroughly discussed. Hence, a systematic development of polygonal approximation and scale-space analysis of digital curve is very essential for future work. Also there is no comprehensive book on polygonal approximation and scale-space analysis of digital curves. Hence this book will be very useful from theoretical and practical point of view. The last part of the book handles series of applications in the area of structural pattern classification and object recognition.

CONTENTS:
Preface
Chapter 1: Polygonal Approximation
Chapter 2: A Split and Merge Technique
Chapter 3: A Sequential One-pass Method
Chapter 4: Another Sequential One-pass Method
Chapter 5: Data-driven Method
Chapter 6: Another Data-driven Method
Chapter 7: A Two-pass Sequential Method
Chapter 8: Polygonal Approximation Using Reverse Engineering on Bresenham’s ?Line Drawing Technique
Chapter 9: Polygonal Approximation as Angle Detection
Chapter 10: Polygonal Approximation as Angle Detection Using Asymmetric?Region of Support
Chapter 11: Scale Space Analysis with Application to Corner Detection
Chapter 12: Scale Space Analysis and Corner Detection on Chain Coded Curves
Chapter 13: Scale Space Analysis and Corner Detection Using Iterative Gaussian Smoothing with Constant Window Size
Chapter 14: Corner Detection Using Bessel Function as Smoothing Kernel
Chapter 15: Adaptive Smoothing Using Convolution with Gaussian Kernel
Chapter 16: Application of Polygonal Approximation for Pattern Classification and?Object Recognition
Chapter 17: Polygonal Dissimilarity and Scale Preserving Smoothing
Chapter 18: Matching Polygon Fragments
Chapter 19: Polygonal Approximation to Recognize and Locate Partially Occluded?Objects Hypothesis Generation and Verification Paradigm
Chapter 20: Object Recognition with Belief Revision: Hypothesis Generation?and Belief Revision Paradigm
Chapter 21: Neuro-fuzzy Reasoning for Occluded Object Recognition: A Learning Paradigm through Neuro-fuzzy Concept
Chapter 22: Conclusion
Index


About the Authors / Editors:
Kumar S. Ray, PhD
Professor, Electronics and Communication Science Unit, Indian Statistical Institute, Kolkata, India

Kumar S. Ray, PhD, is a professor in the Electronics and Communication Science Unit at the Indian Statistical Institute, Kolkata, India. He has written a number of articles published in international journals and has presented at several professional meetings. His current research interests include artificial intelligence, computer vision, commonsense reasoning, soft computing, non-monotonic deductive database systems, and DNA computing.

Bimal Kumar Ray, PhD
Professor, School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

Bimal Kumar Ray is a professor at the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He received his PhD degree in computer science from the Indian Statistical Institute, Kolkata, India. He received hs master’s degree in applied mathematics from Calcutta University and his bachelor degree in mathematics from St. Xavier’s College, Kolkata. His research interests include computer graphics, computer vision, and image processing. He has published a number of research papers in peer-reviewed journals.




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