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Comparison of methods for detecting corner points from digital curves-a preliminary report

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4 Author(s)
Abe, K. ; Dept. of Comput. Sci., Shizuoka Univ., Hamamatsu, Japan ; Morii, R. ; Nishida, K. ; Kadonaga, T.

The authors report on the results of a comparison of seven methods for detecting corner points from given digital curves. In the experiments, they used two sets of input curves: flowchart symbol images and figures used in the past literature. Criteria for comparing the detection results are: extent of co-incidence with human results, processing time, and invariance to rotation, to size change, and to reflection. For flowchart symbol images, the method using n-codes produced the best result in the shortest processing time. However, for the figures from the literature Rosenfeld-Weszka's method (A. Rosenfeld, J.S. Weszka, 1975) worked best. No consistent conclusion has been made for invariance tests yet

Published in:

Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on

Date of Conference:

20-22 Oct 1993