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Medial axis transformation of a planar shape
1MEMBER, IEEE, Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60201.
This paper introduces an efficient O(n log n) algorithm for computing the medial axis transformation of simple polygons. This method improves upon existing techniques for shape description and analysis.
Area of Science:
- Computational Geometry
- Computer Graphics
- Shape Analysis
Background:
- The medial axis transformation (MAT) is a fundamental tool for shape representation, first proposed by Blum.
- Existing methods for computing the MAT of polygons often lack efficiency or exactness.
Purpose of the Study:
- To present a novel algorithm for computing the medial axis of planar shapes represented by simple polygons.
- To improve the efficiency and exactness of medial axis computation.
Main Methods:
- Developed an O(n log n) algorithm for medial axis computation.
- The algorithm is designed for n-edge simple polygons.
- Implemented the algorithm in Fortran.
Main Results:
- The proposed algorithm achieves a time complexity of O(n log n).
- Demonstrated improvements in efficiency and exactness compared to previous methods.
- Successful implementation and testing of the algorithm.
Conclusions:
- The O(n log n) algorithm provides an efficient and exact method for computing the medial axis of simple polygons.
- The developed algorithm represents a significant advancement in computational geometry for shape analysis.
- The practical implementation showcases the algorithm's viability.
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