comparison image_registration_affine.xml @ 2:77dc68af2b40 draft

"planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/image_registration_affine/ commit ded1703bcd6e295b26201505edb58381991b265e"

1:fa769715b6b0

<tool id="ip_image_registration" name="Image Registration" version="0.0.2" profile="20.05"> 
    <description>based on intensity information</description>
    <requirements>
        <requirement type="package" version="0.18.1">scikit-image</requirement>
        <requirement type="package" version="1.6.2">scipy</requirement>
        <requirement type="package" version="1.2.4">pandas</requirement>

    <inputs>
        <param name="fn_moving" type="data" format="tiff,png,jpg" label="Moving image" />
        <param name="fn_fixed" type="data" format="tiff,png,jpg" label="Fixed (reference) image" />
        <param name="sigma" type="float" value="3" label="Sigma of Gaussian filter for smoothing input images" />
        <param name="metric" type="select" label="Image similarity metric">
            <option value="lcc" selected="True">Local cross-correlation</option>
            <option value="mse">Mean squared error</option>
            <option value="mae">Mean absolute error</option>
        </param>
    </inputs>
    <outputs>
       <data format="tabular" name="fn_tmat" />
    </outputs>

2:77dc68af2b40

<tool id="ip_image_registration" name="Image Registration" version="0.0.3" profile="20.05"> 
    <description>based on intensity information</description>
    <requirements>
        <requirement type="package" version="0.18.1">scikit-image</requirement>
        <requirement type="package" version="1.6.2">scipy</requirement>
        <requirement type="package" version="1.2.4">pandas</requirement>

    <inputs>
        <param name="fn_moving" type="data" format="tiff,png,jpg" label="Moving image" />
        <param name="fn_fixed" type="data" format="tiff,png,jpg" label="Fixed (reference) image" />
        <param name="sigma" type="float" value="3" label="Sigma of Gaussian filter for smoothing input images" />
        <param name="metric" type="select" label="Image similarity metric">
            <option value="mse" selected="True">Mean squared error</option>
            <option value="mae">Mean absolute error</option>
            <option value="lcc">Local cross-correlation</option>
        </param>
    </inputs>
    <outputs>
       <data format="tabular" name="fn_tmat" />
    </outputs>