2 March 1989 Recognition Of Complex Graphical Objects
Author Affiliations +
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
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, P. Puliti, G. Tascini, 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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