A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper Seismograms

History paper seismograms are very important information for earthquake monitoring and prediction. The vectorization of paper seismograms is an import problem to be resolved. Auto tracing of waveform curves is a key technology for the vectorization of paper seismograms. It can transform an original...

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Bibliographic Details
Published in:Sensors & transducers Vol. 165; no. 2; p. 108
Main Authors: Wang, Maofa, Gao, Guangda, Feng, Jilin, Jiang, Qigang, Pan, Zhian
Format: Journal Article
Language:English
Published: Toronto IFSA Publishing, S.L 01.02.2014
Subjects:
Algorithms
Automobiles
Automotive engineering
Automotive industry
Digital imaging
Earthquakes
Optimization algorithms
Seismic phenomena
Seismograms
Waveforms
ISSN:2306-8515, 1726-5479
Online Access:Get full text
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Summary:History paper seismograms are very important information for earthquake monitoring and prediction. The vectorization of paper seismograms is an import problem to be resolved. Auto tracing of waveform curves is a key technology for the vectorization of paper seismograms. It can transform an original scanning image into digital waveform data. Accurately tracing out all the key points of each curve in seismograms is the foundation for vectorization of paper seismograms. In the paper, we present a new curve tracing algorithm based on local feature, applying to auto extraction of earthquake waveform in paper seismograms. [PUBLICATION ABSTRACT]
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ISSN:2306-8515
1726-5479