The constant appearance of new contour detection methods makes it necessary to have accurate ways of assessing the performance of these methods. This paper proposes an evaluation method of contour detectors for noisy images. The method considers the computation of the optimal threshold that produces a greater approximation to the ground truth and the effect produced by the noise. Both analyzed dimensions allow objective comparisons of the performance of contour detectors. © 2011 Springer-Verlag.
CITATION STYLE
Pavez, R., Mora, M., & Gonzalez, P. (2011). Objective comparison of contour detection in noisy images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7042 LNCS, pp. 599–606). https://doi.org/10.1007/978-3-642-25085-9_71
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