Decision Trees for Fast Thinning Algorithms
Abstract: We propose a new efficient approach for neighborhood exploration, optimized with decision tables and decision trees, suitable for local algorithms in image processing. In this work, it is employed to speed up two widely used thinning techniques. The performance gain is shown over a large freely available dataset of scanned document images.
Citation:Grana, Costantino; Borghesani, Daniele; Cucchiara, Rita "Decision Trees for Fast Thinning Algorithms" Proceedings of the 20th International Conference on Pattern Recognition - ICPR 2010, Istanbul, Turkey, pp. 2836 -2839 , Aug 23-27, 2010 DOI: 10.1109/ICPR.2010.695
- Author version:
- DOI: 10.1109/ICPR.2010.695