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Bulletin of the Seismological Society of America; February 1983; v. 73; no. 1; p. 307-314
© 1983 Seismological Society of America
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Application of image enhancement and pattern recognition algorithms to seismic reflection data

GEORGE A. MCMECHAN

PACIFIC GEOSCIENCE CENTRE EARTH PHYSICS BRANCH DEPARTMENT OF ENERGY, MINES AND RESOURCES, P.O. BOX 6000, SIDNEY, BC Canada V8L 4B2

Abstract

A digital seismic reflection section may be converted to a gray scale image composed of pixels and processed with techniques borrowed from the disciplines of image enhancement and pattern recognition. Types of processing include scaling, thresholding, density equalization, filtering, segmentation, and edge-finding. These are successfully applied to a migrated common mid-point seismic reflection line that traverses the Queen Charlotte fault (located in the northeastern Pacific Ocean). The result is the definition and enhancement of an elongated, near-vertical reflectivity anomaly associated with the Queen Charlotte fault.






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