 | Acta Crystallographica Section D Acta Crystallographica Section D BIOLOGICAL CRYSTALLOGRAPHY |
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![[Figure 10]](ba0051fig10mag.jpg)
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Figure 10
Image classification by multivariate statistical analysis. A large set of images is aligned to a common centre and then assembled into a matrix in which each row contains all the pixel values of a single image. Each raw image forms a row of the matrix. The first two images of a series and a small part of the matrix are shown. The eigenvectors of this matrix are difference images that represent the principal components of variation in the data set. Each image can then be represented by the average image ± a series of difference components. Similar images are classified into subgroups on the basis of the coefficients of these components. Similar average of each subgroup gives an image with a greatly improved signal-to-noise ratio. |
![[Figure 10]](ba0051fig10.jpg)
| BIOLOGICAL CRYSTALLOGRAPHY |
ISSN: 1399-0047
