1887

Abstract

The suitability of Gabor filters for segmenting a salt structure present in a North Sea seismic section is investigated. A filter bank of 24 Gabor filters is designed and applied to the seismic data. Principal component analysis is applied to the resulting filter response images to extract a low number of relevant attributes. These attributes are used to train a statistical classifier to estimate the probability that each pixel is salt. The probability is then used as input to a segmentation algorithm that finds a continuous, smooth border between the salt and the surroundings. The resulting border corresponds well with a manually interpreted contour provided by an experienced interpreter.

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/content/papers/10.3997/2214-4609.20149010
2011-05-23
2019-12-09
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20149010
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