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ABSTRACT
The use of curves to represent two-dimensional structures is an important part of many scientific investigations. For example, geographers use curves extensively to represent map features such as contour lines, roads, and rivers. Circuit layout designers use curves to specify the wiring between circuits. Because of the very large amount of data involved and the need to perform operations on this data efficiently, the representation of such curves is a crucial issue. A hierarchical representation consisting of binary trees with a special datum at each node is described. This datum is called a strip and the tree that contains such data is called a strip tree. Lower levels in the tree correspond to finer resolution representations of the curve. The strip tree structure is a direct consequence of using a special method for digitizing lines and retaining all intermediate steps. This gives several desirable properties. For curves that are well-behaved, intersection and point-membership (for closed curves) calculations can be solved in 0(log n) where n is the number of points describing the curve. The curves can be efficiently encoded and displayed at various resolutions. The representation is closed under intersection and union and these operations can be carried out at different resolutions. All these properties depend on the hierarchical tree structure which allows primitive operations to be performed at the lowest possible resolution with great computational time savings.
Strip trees is a linear interpolation scheme which realizes an important space savings by not representing all the points explicitly. This means that even when the overhead of the tree indexing is added, the storage requirement is comparable to raster representations which do represent most of the points explicitly.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Peucker, T. A theory of the cartographic line. International Yearbook of Cartography 16, 1976.
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Peuquet, D.J. Raster processing: An alternative approach to automated cartographic data handling. Am. Cartogr. 6, 2 (April, 1979), 129-139.
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Tanimoto, S. and Pavlidis, T. A hierarchical data structure for picture processing. Comptr Graphics and Image Processing 4, 2 (June 1975), 104-119.
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Turner, K.J. Computer perception of curved objects using a television camera. Ph.D. thesis, Univ. of Edinburgh, Scotland, 1974.
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CITED BY 20
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Claude Puech , Hussein Yahia, Quadtrees, octrees, hyperoctrees: a unified analytical approach to tree data structures used in graphics, geometric modeling and image processing, Proceedings of the first annual symposium on Computational geometry, p.272-280, June 05-07, 1985, Baltimore, Maryland, United States
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INDEX TERMS
Primary Classification:
G.
Mathematics of Computing
G.1
NUMERICAL ANALYSIS
Additional Classification:
B.
Hardware
B.7
INTEGRATED CIRCUITS
General Terms:
Performance,
Theory
Keywords:
boundary line representation,
cartography,
computer graphics,
computer-searchable structures,
contour representation,
geographic information processing,
graphic data retrieval,
intersection of curves,
line-drawing processing,
points in polygons,
polygons,
regional boundary representation,
spatial information
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