Computational Morphology: A Computational Geometric Approach to the Analysis of Form

Գրքի շապիկի երեսը
G.T. Toussaint
Elsevier, 28 հնս, 2014 թ. - 273 էջ
Computational Geometry is a new discipline of computer science that deals with the design and analysis of algorithms for solving geometric problems. There are many areas of study in different disciplines which, while being of a geometric nature, have as their main component the extraction of a description of the shape or form of the input data. This notion is more imprecise and subjective than pure geometry. Such fields include cluster analysis in statistics, computer vision and pattern recognition, and the measurement of form and form-change in such areas as stereology and developmental biology.This volume is concerned with a new approach to the study of shape and form in these areas. Computational morphology is thus concerned with the treatment of morphology from the computational geometry point of view. This point of view is more formal, elegant, procedure-oriented, and clear than many previous approaches to the problem and often yields algorithms that are easier to program and have lower complexity.
 

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Chapter 1 Computational Complexity of Restricted Polygon Decompositions
1
CHAPTER 2 COMPUTING MONOTONE SIMPLE CIRCUITS IN THE PLANE
13
Chapter 3 Circular Separability of Planar Point Sets
25
CHAPTER 4 SYMMETRY FINDING ALGORITHMS
41
CHAPTER 5 COMPUTING THE RELATIVE NEIGHBOUR DECOMPOSITION OF A SIMPLE POLYGON
53
Chapter 6 Polygonal Approximations of a Curve Formulations and Algorithms
71
CHAPTER 7 ON POLYGONAL CHAIN APPROXIMATION
87
CHAPTER 8 UNIQUENESS OF ORTHOGONAL CONNECTTHEDOTS
97
CHAPTER 9 ON THE SHAPE OF A SET OF POINTS
105
CHAPTER 10 ORTHOCONVEXITY AND ITS GENERALIZATIONS
137
Chapter 11 Guard Placement in Rectilinear Polygons
153
CHAPTER 12 REALIZABILITY OF POLYHEDRONS FROM LINE DRAWINGS
177
CHAPTER 13 VORONOI AND RELATED NEIGHBORS ON DIGITIZED TWODIMENSIONAL SPACE WITH APPLICATIONS TO TEXTURE A...
207
CHAPTER 14 A GRAPHTHEORETICAL PRIMAL SKETCH
229
AUTHOR INDEX
261
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