Image_sort_by_statistics_v3

!xmipp_image_sort_by_statistics (v3.0)

Usage

Sorts the input images for identifying junk particles The program associates to each image a vector composed by the histogram of the image (this accounts for factors such as min, max, avg, and standard deviation, plus a more complete description of the image gray levels) and the radial profile of the image squared.

These vectors are then scored according to a Gaussian distribution that can be chosen to be univariate or multivariate. The multivariate gaussian is more powerful in the sense that it can capture relationships among variables.

If you choose a threshold, you must take into account that it is a zscore. For univariate and mulivariate Gaussian distributions, 99% of the individuals have a Z-score below 3

Parameters

$: Selfile with input images $`-o <rootname`> $`--train <selfile`> $`--zcut <float`-1> $: Identify also multivariate outliers $``: Add columns also to inputMetaData

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