A single scan boundary removal thinning algorithm for 2-D binary object
References (12)
A condition for digital point removal
Signal Process
(1979)- et al.
A thinning transform for digital images
Signal Process
(1981) - et al.
Digital topology: introduction and survey
Comput. Vision Graphics Image Process
(1989) A characterization of parallel thinning algorithms
Inform. Control.
(1975)- et al.
A width-independent fast thinning algorithm
IEEE Trans. Pattern. Anal. Machine Intell.
(1985) A transformation for extracting new descriptors of space
There are more references available in the full text version of this article.
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A comparative study using contours and skeletons as shape representations for binary image matching
2016, Pattern Recognition LettersCitation Excerpt :Be robust against contour noise. Research on improving skeletonization algorithms focused on improving efficiency [19], insuring topology preservation [20,21], and adding robustness against noise using filtering [22,23] and pruning [24]. Application-specific algorithms have also been presented such as extracting skeletons of handwriting, fingerprints, and cereal plant images [22,25].
The processing method as a set of the image transformations in shape understanding
2001, Computers and Graphics (Pergamon)Proposed heuristic procedures to preprocess character patterns using line adjacency graphs
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