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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2014-02-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_1885.pdf |
| 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.
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| ISSN: | 2306-8515 1726-5479 |