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

TY - JOUR

T1 - Automated classification of crystallisation experiments using wavelets and statistical texture characterisation techniques

AU - Watts, David

AU - Cowtan, Kevin

AU - Wilson, Julie C.

PY - 2008/4/1

Y1 - 2008/4/1

N2 - 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.

AB - 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.

KW - classification;

KW - pattern recognition;

KW - crystallization images;

KW - wavelet transform;

KW - statistical descriptors

UR - http://www.scopus.com/inward/record.url?scp=38349177308&partnerID=8YFLogxK

U2 - 10.1107/S0021889807049308

DO - 10.1107/S0021889807049308

M3 - Article

SN - 0021-8898

VL - 41

SP - 8

EP - 17

JO - Journal of Applied Crystallography

JF - Journal of Applied Crystallography

IS - 1

ER -