Topological Algorithms for Digital Image Processing
Edited by- T.Y. Kong, CUNY, Queens College, Department of Computer Science, Flushing, NY, USA
- A. Rosenfeld, University of Maryland, Center for Automation Research, College Park, MD, USA
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.Included in series
Machine Intelligence and Pattern Recognition
Machine Intelligence and Pattern Recognition
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Published: July 1996
Imprint: North-holland
ISBN: 978-0-444-89754-1
Contents
- Preface. Connected component labeling and adjency graph construction (L.G. Shapiro). Shrinking binary images (R.W. Hall, T.Y. Kong, A. Rosenfeld). Skeletons of planar patterns (C. Arcelli, G. Sanniti di Baja). Parallel connectivity-preserving thinning algorithms (R.W. Hall). On the soundness of surface voxelizations (D. Cohen-Or, A.E. Kaufman, T.Y. Kong). Connected, oriented, closed boundaries in digital spaces: theory and algorithms (J.K. Udupa). Boundaries in digital spaces: basic theory (G.T. Herman). Appendix: digital topology - a brief introduction and bibliography (T.Y. Kong, A. Rosenfeld).
