An investigation into the skeletonization approach of Hilditch
Pattern Recognition
A pattern adaptive thinning algorithm
Pattern Recognition
A modified fast parallel algorithm for thinning digital patterns
Pattern Recognition Letters
Sequential Operations in Digital Picture Processing
Journal of the ACM (JACM)
Continuous Skeletons from Digitized Images
Journal of the ACM (JACM)
Connectivity in Digital Pictures
Journal of the ACM (JACM)
Some Parallel Thinning Algorithms for Digital Pictures
Journal of the ACM (JACM)
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
Thinning algorithms on rectangular, hexagonal, and triangular arrays
Communications of the ACM
A Width-Independent Fast Thinning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based chart image classification
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
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A One Pass Thinning Algorithm (OPTA) and a Pseudo One Pass Thinning Algorithm (POPTA) are proposed in this paper. The one pass thinning algorithm uses the concept of thinning and restoring. The OPTA deletes pixels from North, South, East, and West in one pass. The POPTA uses an additional concept of corner pixels, which detects the corner pixels and deletes them to yield better skeletons with little or no distortion. Experimental results show that each of the patterns is thinned to a skeleton of unit pixel width, with no loss of connectivity or distortion. The algorithms are width independent and work for both even pixel wide and odd pixel wide images.