Polygonal approximation is often involved in many applications of computer vision, image processing and data compression. In this context, we are interested in digital curves extracted from contours of objects contained in digital images. In particular, we propose a fully discrete structure, based on the notion of blurred segments, to study the geometrical features on such curves and apply it in a process of polygonal approximation. The experimental results demonstrate the robustness of the proposed method to local variation and noise on the curve.
CITATION STYLE
Ngo, P. (2019). A Discrete Approach for Polygonal Approximation of Irregular Noise Contours. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11678 LNCS, pp. 433–446). Springer Verlag. https://doi.org/10.1007/978-3-030-29888-3_35
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