Simulated annealing for pattern detection and seismic applications

Kou-Yuan Huang*, Kai Ju Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Simulated annealing (SA) is adopted to detect the parameters of circles, ellipses, hyperbolas, and to treat lines as asymptotes of hyperbola in image. Also, the algorithm is applied to seismic pattern detection. We use the general equation for ellipses and hyperbolas in detection and define the distance from a point to a pattern such that the detection becomes feasible. The system error between N points and K patterns is defined. The proposed simulated annealing parameter detection system has the capability of searching a set of parameter vectors with global minimal error with respect to the input data. Experiments on the detection of circles, ellipses, hyperbolas, and lines in images are quite successful. The detection system is also applied to detect the line pattern of direct wave and the hyperbolic pattern of reflection wave in the simulated and real one-shot seismo-gram. The results can improve seismic interpretations and further seismic data processing.

Original languageEnglish
Pages (from-to)793-805
Number of pages13
JournalJournal of Information Science and Engineering
Volume25
Issue number3
DOIs
StatePublished - 1 May 2009

Keywords

  • Global optimization
  • Hough transform
  • Hyperbolic pattern detection
  • Reflection wave
  • Seismic pattern recognition
  • Simulated annealing

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