On Recursive, O(N) Partitioning of a Digitized Curve into Digital Straight Segments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonparametric Segmentation of Curves into Various Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing Constrained Minimum-Width Annuli of Point Sets
WADS '97 Proceedings of the 5th International Workshop on Algorithms and Data Structures
Digital Geometry: Geometric Methods for Digital Picture Analysis
Digital Geometry: Geometric Methods for Digital Picture Analysis
Canonical representations of discrete curves
Pattern Analysis & Applications
Robust and Accurate Vectorization of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the min DSS problem of closed discrete curves
Discrete Applied Mathematics - Special issue: IWCIA 2003 - Ninth international workshop on combinatorial image analysis
Fast, accurate and convergent tangent estimation on digital contours
Image and Vision Computing
Tangential cover for thick digital curves
Pattern Recognition
Robust estimation of curvature along digital contours with global optimization
DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
Robust decomposition of thick digital shapes
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Digital line recognition, convex hull, thickness, a unified and logarithmic technique
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
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In this paper, we propose a new approach for the analysis and the decomposition of digital curves simultaneously into straight and circular parts. Both digital primitives are defined using a thickness parameter. Our method relies on the notion of Tangential Cover [8] which represents digital curves by the set of maximal primitives. The nature of the Tangential Cover allows for fast computation and makes our approach easily extendable, not only to other types of digital primitives, but also to thick digital curves [7]. The results are promising.