Abstract
New directional morphological operators that have accurate selectivity and controllable strictness, are defined and applied to dashed lines detection and labeling. The proposed approach is based on adaptation of the directions and dimensions of newly defined tube-directional morphological operators to local characteristics of the data. The separation of maps and line drawings, into four images containing respectively graphics, character strings, symbols, and dashes was presented in a previous paper. This paper presents an algorithm for detection and labeling of dashed lines, where the input is an image of dashes. Experimental results demonstrate very good detection even in cases where the dashed lines intersect.
This work was partially supported by The Paul Ivanier Center for Robotics and Production Automation, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
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© 1996 Springer-Verlag Berlin Heidelberg
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Agam, G., Luo, H., Dinstein, I. (1996). Morphological approach for dashed lines detection. In: Kasturi, R., Tombre, K. (eds) Graphics Recognition Methods and Applications. GREC 1995. Lecture Notes in Computer Science, vol 1072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61226-2_9
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DOI: https://doi.org/10.1007/3-540-61226-2_9
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