Recognition of primitives in technical drawings is the first stage in their higher level interpretation. It calls for processing of voluminous scanned raster files. This is a difficult task if each pixel must be addressed at least once, as required by Hough transform or thinning-based methods. This work presents a set of algorithms that recognize drawing primitives by examining the raster file sparsely. Bars (straight line segments), arcs, and arrowheads are identified by the orthogonal zig-zag, perpendicular Bisector tracing, and self-supervised arrowhead recognition algorithms, respectively. The common feature of these algorithms is that rather than applying massive pixel addressing, they recognize the sought primitives by screening a carefully selected sample of the image and focusing attention on identified key areas. The sparse-pixel-based algorithms yield high quality recognition, as demonstrated on a sample of engineering drawings. © 1993 Springer-Verlag.
CITATION STYLE
Dori, D., Liang, Y., Dowell, J., & Chai, I. (1993). Sparse-pixel recognition of primitives in engineering drawings. Machine Vision and Applications, 6(2–3), 69–82. https://doi.org/10.1007/BF01211932
Mendeley helps you to discover research relevant for your work.