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ray kumar s.; ray bimal kumar - polygonal approximation and scale-space analysis of closed digital curves

Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves

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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 03/2021
Edizione: 1° edizione





Note Editore

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.




Sommario

Part I: Polygonal ApproximationIntroduction A Split-and-Merge TechniqueA Sequential One-Pass Method Another Sequential One-Pass Method A Data-Driven Method Another Data-Driven Method A Two-Pass Sequential Method Polygonal Approximation Using Reverse Engineering on Bresenham's Line Drawing Technique Polygonal Approximation as Angle DetectionPolygonal Approximation as Angle Detection Using Asymmetric Region of Support Part II: Scale-space analysisIntroduction Scale-Space Analysis and Corner Detection on Chain Coded Curves Scale-Space Analysis and Corner Detection Using Iterative Gaussian Smoothing With Constant Window SizeCorner detection using Bessel function as smoothing kernelAdaptive smoothing using convolution with Gaussian Kernel Part III: Application of Polygonal Approximation for Pattern Classification and Object RecognitionIntroductionPolygonal Dissimilarity and Scale Preserving SmoothingMatching Polygon Fragments Polygonal Approximation to Recognize and Locate Partially Occluded Objects: Hypothesis Generation and Verification Paradigm Object Recognition With Belief Revision: Hypothesis Generation and Belief Revision Paradigm Neuro-Fuzzy Reasoning for Occluded Object Recognition: A Learning Paradigm Through Neuro-Fuzzy Concept Conclusion




Autore

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 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’s 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.










Altre Informazioni

ISBN:

9781774632642

Condizione: Nuovo
Dimensioni: 9.25 x 6.25 in Ø 1.17 lb
Formato: Brossura
Illustration Notes:153 b/w images
Pagine Arabe: 388


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