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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IFSA Publishing, S.L.
2014-02-01
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Online Access: | http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_1885.pdf |
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doaj-6589081ab0764e099d26d4ac5075049b2020-11-25T00:44:13ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-02-011652108111A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper SeismogramsMaofa Wang0Guangda gao1Jilin Feng2Qigang Jiang3Zhian Pan4Department of Information Technology, Institute of Disaster Prevention, Hebei, Sanhe, China, 065201 Department of Information Technology, Institute of Disaster Prevention, Hebei, Sanhe, China, 065201 Department of Information Technology, Institute of Disaster Prevention, Hebei, Sanhe, China, 065201 College of Geoexploration Science and Technology, Jilin University, Jilin, Chang Chun, China, 130026 Department of Information Technology, Institute of Disaster Prevention, Hebei, Sanhe, China, 065201 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. http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_1885.pdfEarthquake recordsWaveform extractionCurve tracing. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maofa Wang Guangda gao Jilin Feng Qigang Jiang Zhian Pan |
spellingShingle |
Maofa Wang Guangda gao Jilin Feng Qigang Jiang Zhian Pan A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper Seismograms Sensors & Transducers Earthquake records Waveform extraction Curve tracing. |
author_facet |
Maofa Wang Guangda gao Jilin Feng Qigang Jiang Zhian Pan |
author_sort |
Maofa Wang |
title |
A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper Seismograms |
title_short |
A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper Seismograms |
title_full |
A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper Seismograms |
title_fullStr |
A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper Seismograms |
title_full_unstemmed |
A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper Seismograms |
title_sort |
new curve tracing algorithm based on local feature in the vectorization of paper seismograms |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2014-02-01 |
description |
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.
|
topic |
Earthquake records Waveform extraction Curve tracing. |
url |
http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_1885.pdf |
work_keys_str_mv |
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