دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: A New Curve Tracing Algorithm Based on Local Feature in the Vectorization of Paper Seismograms
المؤلفون: Maofa Wang, Guangda gao, Jilin Feng, Qigang Jiang, Zhian Pan
المصدر: Sensors & Transducers, Vol 165, Iss 2, Pp 108-111 (2014)
بيانات النشر: IFSA Publishing, S.L., 2014.
سنة النشر: 2014
المجموعة: LCC:Technology (General)
مصطلحات موضوعية: Earthquake records, Waveform extraction, Curve tracing., Technology (General), T1-995
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2306-8515
1726-5479
Relation: http://www.sensorsportal.com/HTML/DIGEST/february_2014/Vol_165/P_1885.pdf; https://doaj.org/toc/2306-8515; https://doaj.org/toc/1726-5479
URL الوصول: https://doaj.org/article/6589081ab0764e099d26d4ac5075049b
رقم الأكسشن: edsdoj.6589081ab0764e099d26d4ac5075049b
قاعدة البيانات: Directory of Open Access Journals