Singularities and Regularities on Line Pictures via Symmetrical Trapezoids April 1998 (vol. 20 no. 4) pp. 391-395
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.677264
Abstract—An algorithm that decomposes a line image into singular and regular regions is presented. We define a contour trapezoid as the building block of regular regions, and postulate a Maximal Trapezoid Set as the core of regular regions. Then, we describe an algorithm that calculates a Maximal Trapezoid Set of a polygon and show how to use it to find a skeleton of a polygonal approximation of a contour. Experiments are explained to show the behavior of the new concept on real images as compared to previous algorithms. [1] C. Bjorklund and T. Pavlidis, "Global Shape Analysis by k-Syntactic Similarity," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 3, no. 2, pp. 144-155, 1981.
Index Terms:
Contour trapezoid, maximal trapezoid set, regular region, singular region, skeleton.
Citation:
Jairo Rocha, Rafael Bernardino, "Singularities and Regularities on Line Pictures via Symmetrical Trapezoids," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 4, pp. 391-395, Apr. 1998, doi:10.1109/34.677264 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||