Computer-assisted pit-pattern classifica
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Michael HΓ€fner; Roland Kwitt; Andreas Uhl; Friedrich Wrba; Alfred Gangl; Andreas
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Article
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2009
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Elsevier Science
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English
β 544 KB
In this paper, we show that zoom-endoscopy images can be well classified according to the pit-pattern classification scheme by using texture-analysis methods in different wavelet domains. We base our approach on three different variants of the wavelet transform and propose that the color channels of