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Topological Algorithms for Digital Image Processing (Machine Intelligence and Pattern Recognition)
 
 
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Topological Algorithms for Digital Image Processing (Machine Intelligence and Pattern Recognition) [Hardcover]

T.Y. Kong (Editor), A. Rosenfeld (Editor)


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Book Description

0444897542 978-0444897541 July 1, 1996
Basic topological algorithms are the subject of this new book. It presents their underlying theory and discusses their applications.

Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors. Each chapter, however, is self-contained and can be read independently of the others.

Some of the basic terminology and fundamental concepts of digital topology are reviewed in the appendix which also describes important areas of the field. A bibliography of over 360 references is also provided.

The notations and terminologies used in this book will serve to introduce readers to the even wider variety that exists in the voluminous literature dealing with topological algorithms.


Product Details

  • Hardcover: 300 pages
  • Publisher: North Holland (July 1, 1996)
  • Language: English
  • ISBN-10: 0444897542
  • ISBN-13: 978-0444897541
  • Product Dimensions: 9 x 6.2 x 0.8 inches
  • Shipping Weight: 1.4 pounds
  • Amazon Best Sellers Rank: #8,739,336 in Books (See Top 100 in Books)

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
foreground connectivity, upright bounding rectangle, peripheral skeleton branch, adjacency families, tapering protrusion, opposite voxels, spel adjacencies, shrinking algorithm, skeletal pixels, adjacency family, reductive operator, connectivity preservation, spel adjacency, oneness sets, endpoint pixel, parallel thinning algorithms, labeled skeleton, connected components operator, augmentation set, surface tracking algorithm, augmentation conditions, finite picture, medial curve, deleted residues, background connectivity
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Pattern Recognition, International Conference, Computer Vision, New York, Graphics Image Process, Image Processing, Academic Press, Computer Society Conference, Elsevier Science, Image Understanding, Pattern Anal, Computer Science, Visual Form, Machine Intelligence, Gabor Herman, Parallel Computing, Digital Picture Processing, University of Maryland, Kameswara Rao, University of Pennsylvania, Angewandten Mathematik, Signal Processing, Mathematical Description of Shape, Vision Geometry, Englewood Cliffs
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