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Automated classification of crystallisation experiments using wavelets and statistical texture characterisation techniques

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JournalJournal of Applied Crystallography
DatePublished - 1 Apr 2008
Issue number1
Volume41
Number of pages10
Pages (from-to)8-17
Original languageEnglish

Abstract

A method is presented for the classification of protein crystallization images based on image decomposition using the wavelet transform. The distribution of wavelet coefficient values in each sub-band image is modelled by a generalized Gaussian distribution to provide discriminatory variables. These statistical descriptors, together with second-order statistics obtained from joint probability distributions, are used with learning vector quantization to classify protein crystallization images.

    Research areas

  • classification;, pattern recognition;, crystallization images;, wavelet transform;, statistical descriptors

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