Sparse-pixel recognition of primitives in engineering drawings
Identifieur interne : 003071 ( Main/Exploration ); précédent : 003070; suivant : 003072Sparse-pixel recognition of primitives in engineering drawings
Auteurs : Dov Dori [Israël] ; Yubin Liang [États-Unis] ; Joseph Dowell [États-Unis] ; Ian Chai [États-Unis]Source :
- Machine Vision and Applications [ 0932-8092 ] ; 1993-03-01.
Abstract
Abstract: 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.
Url:
DOI: 10.1007/BF01211932
Affiliations:
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Apps.</title><idno type="ISSN">0932-8092</idno><idno type="eISSN">1432-1769</idno><imprint><publisher>Springer-Verlag</publisher><pubPlace>Berlin/Heidelberg</pubPlace><date type="published" when="1993-03-01">1993-03-01</date><biblScope unit="volume">6</biblScope><biblScope unit="issue">2-3</biblScope><biblScope unit="page" from="69">69</biblScope><biblScope unit="page" to="82">82</biblScope></imprint><idno type="ISSN">0932-8092</idno></series><idno type="istex">1E6F2EC58A7EE2BE93EDA02356FE60BC82D2E24D</idno><idno type="DOI">10.1007/BF01211932</idno><idno type="ArticleID">BF01211932</idno><idno type="ArticleID">Art2</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0932-8092</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: 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.</div></front></TEI><affiliations><list><country><li>Israël</li><li>États-Unis</li></country><region><li>Kansas</li></region></list><tree><country name="Israël"><noRegion><name sortKey="Dori, Dov" sort="Dori, Dov" uniqKey="Dori D" first="Dov" last="Dori">Dov Dori</name></noRegion></country><country name="États-Unis"><region name="Kansas"><name sortKey="Liang, Yubin" sort="Liang, Yubin" uniqKey="Liang Y" first="Yubin" last="Liang">Yubin Liang</name></region><name sortKey="Chai, Ian" sort="Chai, Ian" uniqKey="Chai I" first="Ian" last="Chai">Ian Chai</name><name sortKey="Dowell, Joseph" sort="Dowell, Joseph" uniqKey="Dowell J" first="Joseph" last="Dowell">Joseph Dowell</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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