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Skeletonization based on error reduction
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DOI：10.1016/j.patcog.2005.10.023.png)
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摘要
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The accuracy of a non-pixel-based skeletonization method is largely dependent on the contour information chosen as input. When using a Constrained Delaunay Triangulation to construct an object's skeleton, a number of contour pixels must be chosen as a basis for triangulation. This paper presents a new method of selecting these contour pixels. A new method for measuring skeletonization error is proposed, which quantifies the deviation of a skeleton segment from the true medial axis of a stroke in an image. The goal of the proposed algorithm is to reduce this error to an acceptable level, whilst retaining the superior efficiencies of previous non-pixel-based techniques. Experimental results show that the proposed method is adept at following the medial axis of an image, and is capable of producing a skeleton that is confirmed by a human's perception of the image. It is also computationally efficient and robust against noise. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keyword:
skeletonization
Constrained Delaunay Triangulation
thinning
medial axis
binary image processing
cartoon image processing
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期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
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