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Vol. 165, Issue 2, February 2014, pp. 108-111




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

1, 2, * Maofa Wang, 1, 3, * Guangda gao, 1 Jilin Feng, 2 Qigang Jiang, 1 Zhian Pan

1 Department of Information Technology, Institute of Disaster Prevention, Hebei, Sanhe, China, 065201
2 College of Geoexploration Science and Technology, Jilin University, Jilin, Chang Chun, China, 130026
3 China University of Geosciences, Beijing School of Information Engineering, Beijing, China, 100083

* E-mail: wangmaofa2008@126.com


Received: 29 November 2013 /Accepted: 28 January 2014 /Published: 28 February 2014

Digital Sensors and Sensor Sysstems


Abstract: 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.


Keywords: Earthquake records, Waveform extraction, Curve tracing.


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