# HG changeset patch # User imgteam # Date 1563454297 14400 # Node ID e2542d0ac64f51093897808c8f74c8c929b0b019 # Parent 96fe5435577413e0a36ef097e3d7cfd0acdeda13 planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/2d_simple_filter/ commit 8e0d09b4c4eadfaaf125f4a0ae7dcbd1bee5ee51 diff -r 96fe54355774 -r e2542d0ac64f filter.xml --- a/filter.xml Sat Feb 09 14:11:29 2019 -0500 +++ b/filter.xml Thu Jul 18 08:51:37 2019 -0400 @@ -1,4 +1,4 @@ - + applies a standard filter to an image scikit-image diff -r 96fe54355774 -r e2542d0ac64f filter_image.py --- a/filter_image.py Sat Feb 09 14:11:29 2019 -0500 +++ b/filter_image.py Thu Jul 18 08:51:37 2019 -0400 @@ -6,6 +6,7 @@ import skimage.filters import skimage.util from skimage.morphology import disk +from skimage import img_as_uint filterOptions = { 'median' : lambda img_raw, radius: skimage.filters.median(img_raw, disk(radius)), @@ -24,11 +25,5 @@ args = parser.parse_args() img_in = skimage.io.imread(args.input_file.name) - res = filterOptions[args.filter_type](img_in, args.radius) - res[res<-1]=-1 - res[res>1]=1 - - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - res = skimage.util.img_as_uint(res) #Attention: precision loss - skimage.io.imsave(args.out_file.name, res, plugin='tifffile') + res = img_as_uint(filterOptions[args.filter_type](img_in, args.radius)) + skimage.io.imsave(args.out_file.name, res, plugin='tifffile') diff -r 96fe54355774 -r e2542d0ac64f test-data/res.tif Binary file test-data/res.tif has changed