Sinogram Alignment

Description

The centre of mass of each row is determined and then a sine function fit through these to determine the centre of rotation. The residual between each centre of mass and the sine function is then used to align each row.

Parameters

in_datasets:
    visibility: datasets
    dtype: "[list[],list[str]]"
    description:
        summary: A list of the dataset(s) to process.
        verbose: A list of strings, where each string gives the name of a dataset that was either specified by a loader plugin or created as output to a previous plugin.  The length of the list is the number of input datasets requested by the plugin.  If there is only one dataset and the list is left empty it will default to that dataset.
    default: "[]"

out_datasets:
    visibility: datasets
    dtype: "[list[],list[str]]"
    description:
        summary: A list of the dataset(s) to create.
        verbose: A list of strings, where each string is a name to be assigned to a dataset output by the plugin. If there is only one input dataset and one output dataset and the list is left empty, the output will take the name of the input dataset. The length of the list is the number of output datasets created by the plugin.
    default: "[]"

threshold:
    visibility: basic
    dtype: "[None,str]"
    description: e.g. a.b will set all values above a to b.
    default: None

p0:
    visibility: basic
    dtype: "list[float,float,float]"
    description: Initial guess for the parameters of scipy.optimize.curve_fit.
    default: "[1, 1, 1]"

type:
    visibility: intermediate
    dtype: str
    description: Either centre_of_mass or shift, with the latter requiring ProjectionVerticalAlignment prior to this plugin.
    default: centre_of_mass
    options: "['centre_of_mass', 'shift']"

Key

visibility: The visibility level of the parameter
dtype: The type of data
description: A short explanation of the parameter
default: The default value
options: A list of permitted values
dependency: The name of the parameter and value which this parameter depends upon
range: A guide for the range of the parameter

Citations

Chemical imaging of single catalyst particles with scanning μ-XANES-CT and μ-XRF-CT by Price, SWT et al.

Bibtex

@article{price2015chemical,
title={Chemical imaging of single catalyst particles with scanning $\mu$-XANES-CT and $\mu$-XRF-CT},
author={Price, SWT and Ignatyev, K and Geraki, K and Basham, M and Filik, J and Vo, NT and Witte, PT and Beale, AM and Mosselmans, JFW},
journal={Physical Chemistry Chemical Physics},
volume={17},
number={1},
pages={521--529},
year={2015},
publisher={Royal Society of Chemistry}}

Endnote

%0 Journal Article
%T Chemical imaging of single catalyst particles with scanning μ-XANES-CT and μ-XRF-CT
%A Price, SWT
%A Ignatyev, K
%A Geraki, K
%A Basham, M
%A Filik, J
%A Vo, NT
%A Witte, PT
%A Beale, AM
%A Mosselmans, JFW
%J Physical Chemistry Chemical Physics
%V 17
%N 1
%P 521-529
%D 2015
%I Royal Society of Chemistry

API

class SinogramAlignment

get_max_frames()

get_plugin_pattern()

pre_process()

This method is called immediately after base_pre_process().

process_frames(data)

Should be overloaded by filter classes extending this one

Parameters

data (ndarray) – The data to filter

Returns

The filtered image