Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves

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A Split-and-Merge Technique
A01=Bimal Kumar Ray
A01=Kumar S. Ray
advanced object recognition techniques
allowable
Application of Polygonal Approximation for Pattern Classification and Object Recognition
Author_Bimal Kumar Ray
Author_Kumar S. Ray
Automatic Parameter Tuning
Category=UMB
chain code algorithms
Closed Digital Curves
compression
computational shape analysis
corner
Corner Detection
corner detection methods
Corner Models
Corner Points
detector
digital curve analysis
Digital Curves
Dissimilarity Measure
Dominant Points
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
error
Gaussian Kernel
Gaussian smoothing techniques
Initial Segmentation
Invariant Local Features
line
Line Segment
map
Matching Polygon Fragments
maximum
Maximum Allowable Error
Maximum Error
Model Objects
neuro-fuzzy reasoning
Noisy Boundaries
Occluded Objects
Occluded Scenes
Perpendicular Distance
Point Pi
Polygon Fragments
Polygonal Approximation
ratio
Scale Space
Scale Space Analysis
Scale Space Map
segment

Product details

  • ISBN 9781774632642
  • Weight: 530g
  • Dimensions: 156 x 234mm
  • Publication Date: 31 Mar 2021
  • Publisher: Apple Academic Press Inc.
  • Publication City/Country: CA
  • Product Form: Paperback
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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.

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.

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