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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Sensors & transducers Ročník 165; číslo 2; s. 108
Hlavní autoři: Wang, Maofa, Gao, Guangda, Feng, Jilin, Jiang, Qigang, Pan, Zhian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Toronto IFSA Publishing, S.L 01.02.2014
Témata:
Algorithms
Automobiles
Automotive engineering
Automotive industry
Digital imaging
Earthquakes
Optimization algorithms
Seismic phenomena
Seismograms
Waveforms
ISSN:2306-8515, 1726-5479
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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]
Bibliografie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:2306-8515
1726-5479