2 March 1989 Recognition Of Complex Graphical Objects
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Proceedings Volume 1027, Image Processing II; (1989) https://doi.org/10.1117/12.950279
Event: 1988 International Congress on Optical Science and Engineering, 1988, Hamburg, Germany
Abstract
The aim of the paper is twofold: firstly defining a method for object extraction from gray-level graphical images; secondly recognizing graphical objects in order to return an automatic description of a given complex drawing. The segmentation uses an histogram mode clustering, which groups the pixels by gray-level intensity in order to define a series of thresholds. A multithreshold method is developed to insert local properties in the multimodal hystogram and to realize an automatic threshold selection. The automatic detection of gray-level images, representing technical drawing, may be simplified by some given drawing criteria. In order to recognize the graphical objects a gool-driven approach is adopted. A structural model is then defined in which the domain knowledge is represented by a semantic network. Finally the semantic network knowledge is used to recognize part or set of parts of a technical drawing, according to a given strategy.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. Puliti, G. Tascini, "Recognition Of Complex Graphical Objects", Proc. SPIE 1027, Image Processing II, (2 March 1989); doi: 10.1117/12.950279; https://doi.org/10.1117/12.950279
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