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In this paper, we propose a new skeletonization method based on thinning by Euclidean distance's ascending order, and use different scan orders to generate candidate results, and synthesize the candidate results to form the final result, the pruning is integrated in the procedure of synthesis. Compared with other existing skeletonzation algorithms, ours is less insensitive to boundary noises and the...
The conversion of two-dimensional objects into a skeletal representation is a fundamental calculation in image processing and pattern recognition, because topological structures of objects can be preserved in the skeleton. For the purpose of shaped fiber recognition, the number of shaped fiberpsilas branches is necessary to be calculated. In this paper, a skeletonization algorithm is proposed, in...
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