Graphics Recognition. Methods and Applications

First International Workshop, University Park, PA, USA, August (10-11), 1995. Selected Papers
1996
ISBN: 978-3-540-61226-1
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 1072, 314 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1010 g

Reihe: Lecture Notes in Computer Science

This 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.

Zielgruppe

Research

Autoren/Hrsg.

Tombre, Karl

Kasturi, Rangachar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

Basic 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.