LEADER 05713nam 22007575 450 001 996465602103316 005 20200702135353.0 010 $a3-540-68387-9 024 7 $a10.1007/3-540-61226-2 035 $a(CKB)1000000000234450 035 $a(SSID)ssj0000323610 035 $a(PQKBManifestationID)11258077 035 $a(PQKBTitleCode)TC0000323610 035 $a(PQKBWorkID)10299306 035 $a(PQKB)11742851 035 $a(DE-He213)978-3-540-68387-2 035 $a(PPN)155179918 035 $a(EXLCZ)991000000000234450 100 $a20121227d1996 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGraphics Recognition. Methods and Applications$b[electronic resource] $eFirst International Workshop, University Park, PA, USA, August (10-11), 1995. Selected Papers /$fedited by Rangachar Kasturi, Karl Tombre 205 $a1st ed. 1996. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1996. 215 $a1 online resource (X, 314 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v1072 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-61226-2 327 $aBasic techniques and symbol-level recognition ? An overview -- An alternative approach to the performance evaluation of thinning algorithms for document processing applications -- Comparison of methods for detecting corner points from digital curves -- Detection of horizontal lines in noisy run length encoded images: The FAST method -- Adding geometric constraints to the vectorization of line drawings -- Quantitative measurement of the performance of raster-to-vector conversion algorithms -- Form item extraction based on line searching -- Model-based analysis of printed tables -- Morphological approach for dashed lines detection -- General diagram-recognition methodologies -- Automatic learning and recognition of graphical symbols in engineering drawings -- A hybrid system for locating and recognizing low level graphic items -- Automatic interpretation of chemical structure diagrams -- Knowledge-based segmentation for automatic map interpretation -- Automatic region labeling of the layered map -- Verification-based approach for automated text and feature extraction from raster-scanned maps -- Software system design for paper map conversion -- Object-process based segmentation and recognition of ANSI and ISO standard dimensioning texts -- A combined high and low level approach to interpreting scanned engineering drawings -- Functional parts detection in engineering drawings: Looking for the screws -- Reconstruction of 3D solid model from three orthographic views ? Top-down approach -- A benchmark: Performance evaluation of dashed-line detection algorithms -- How to win a dashed line detection contest -- Summary and recommendations. 330 $aThis book contains revised refereed papers selected from the presentations at the First International Workshop on Graphics Recognition, held in University Park, PA, USA, in August 1995. The 23 full papers included are divided into sections on low-level processing, vectorization and segmentation of scanned graphics documents; symbol and diagram recognition, map processing, interpretation of engineering drawings. Each section contains both survey articles to assess the state of the art, and research papers presenting novel results. One section is devoted to a contest held to determine the best algorithm for detection of dashed lines in drawings. The final chapter summarizes the conclusions and recommendations of the discussions held during the workshop. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v1072 606 $aPattern recognition 606 $aOptical data processing 606 $aArtificial intelligence 606 $aGeographical information systems 606 $aComputational complexity 606 $aComputer-aided engineering 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aGeographical Information Systems/Cartography$3https://scigraph.springernature.com/ontologies/product-market-codes/J13000 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aComputer-Aided Engineering (CAD, CAE) and Design$3https://scigraph.springernature.com/ontologies/product-market-codes/I23044 615 0$aPattern recognition. 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aGeographical information systems. 615 0$aComputational complexity. 615 0$aComputer-aided engineering. 615 14$aPattern Recognition. 615 24$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aGeographical Information Systems/Cartography. 615 24$aComplexity. 615 24$aComputer-Aided Engineering (CAD, CAE) and Design. 676 $a006.3/7 702 $aKasturi$b Rangachar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTombre$b Karl$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Workshop on Graphics Recognition$d(1st :$f1995 :$eUniversity Park, Pa.) 906 $aBOOK 912 $a996465602103316 996 $aGraphics Recognition. Methods and Applications$92830486 997 $aUNISA