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A major problem with traditional skeletonization algorithms is that their results do not always conform to human perceptions since they often contain unwanted artifacts. This paper presents an indirect skeletonization method to reduce these artifacts. The method is based on analyzing regularities and singularities of shapes. A shape is first partitioned(More)
This paper presents an efficient method for extracting the skeleton of a planar shape. The method is based on computing local symmetries of the shape's linearized contour. The centrelines of the local symmetries form the skeleton of the shape. The method is fast when compared to existing skeletonization methods. The speed-up is usually a factor of more than(More)
Approximation of contours has been shown to be reliant upon accurate determination of the region of support. In this paper, it is proposed that an adaptive approach will provide improved results and better shape representation. Local optimisation of chords along with desensitising the arc-chord measure to small perturbations is used. Experiment results show(More)
In modern photogrammetry for structure health monitoring, the detection of retro reflective targets, play a vital role in the accurate measurement of structural objects. However, due to the limitation of the resolution in photogrammetric equipment, a sufficient accuracy may not be achievable. While existing sub-pixel interpolation techniques may be used to(More)
Non-pixel-based skeletonization techniques show many advantages over traditional pixel-based methods such as thinning. These advantages include superior efficiency and faster processing time. Using a constrained Delaunay triangulation, an algorithm is presented here that improves upon non-pixel-based methods, through an adaptive selection of contour points.(More)