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A gradient-based morphological method to produce planar curve offsets
Date
2015-09-01
Author
Yaman, Ulaş
Dölen, Melik
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Two-dimensional curve offsets have a wide application area ranging from manufacturing to medical imaging. To that end, this paper concentrates on two novel techniques to produce planar curve offsets. Both methods, which are based on mathematical morphology, employ the concept that the boundaries formed by a circular structuring element whose center moves across the points on a base curve comprise the entire offsets of the progenitor. The first technique titled IMOBS was introduced in our former paper and was shown to have superior properties in terms of its high accuracy, low computational complexity, and its ability to handle complex curves if compared to the techniques available in the literature. Consequently, an all-purpose algorithm titled AMOBS is introduced to enhance further the performance of the former technique by making good use of gradient information to find globally the most suitable candidate points in the boundary data set via grid search techniques. Thus, the new paradigm is demonstrated to overcome some of the problems (like orphan curve offsets) encountered in extreme cases. Both algorithms, which have similar attributes in terms of run-time complexity and memory cost, are comparatively tested via two experimental cases where most CAD/CAM packages fail to yield acceptable results.
Subject Keywords
Grid search
,
Self-intersecting curves
,
Geometric accuracy
,
Time complexity analysis
,
Morphological operations
,
Curve offset generation
URI
https://hdl.handle.net/11511/32849
Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
DOI
https://doi.org/10.1007/s00170-015-6971-z
Collections
Department of Mechanical Engineering, Article
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U. Yaman and M. Dölen, “A gradient-based morphological method to produce planar curve offsets,”
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
, pp. 255–274, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32849.