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Methods for recognizing patterns in digitized line drawings

A system for the extraction and storage of line and region data from digitized engineering line drawings, first proposed by Watson et.al.[3] and further developed by Bixler et.al.[4], is completed. As a means for the automatic analysis of picture content, a model based recognizer for line patterns is developed. The pattern matcher uses a simple scheme to decompose a line drawing into basic parts: strokes and junctions, and then finds graph isomorphisms between known line pattern models stored in a database and portions of the image line data. Hu's moment invariants [16] are used to match simple shapes and prune the search space. Information about the connectivity of patterns matched in the image is retained, allowing higher level analysis of image content. A second method for calculating a moment signature from line data is presented. This method makes use of a spline approximation of the line data and Legendre polynomials. Some methods for recognizing incomplete line patterns and partially occluded curves are also discussed, and some experiments are performed. / M.S.

Identiferoai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/101334
Date January 1986
CreatorsWenban, James David
ContributorsComputer Science
PublisherVirginia Polytechnic Institute and State University
Source SetsVirginia Tech Theses and Dissertation
LanguageEnglish
Detected LanguageEnglish
TypeThesis, Text
Formatix, 100 leaves, application/pdf, application/pdf
RightsIn Copyright, http://rightsstatements.org/vocab/InC/1.0/
RelationOCLC# 15183397

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