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Modify mpl_image_to_rgba to allow RGB input image

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mpl_image_to_rgba produces a image of shape (M, N, 3, 4) when the input
image is already RGB. This is understandably confusing for downstream
processes, and this commit fixes it.
This commit is contained in:
Juan Nunez-Iglesias
2013-10-28 18:29:46 +11:00
parent 36cfd6d17c
commit e45aee3369
1 changed files with 20 additions and 4 deletions
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skimage/viewer/viewers/core.py
+20 -4
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@@ -20,12 +20,28 @@ __all__ = ['ImageViewer', 'CollectionViewer']
def mpl_image_to_rgba(mpl_image):
"""Return RGB image from the given matplotlib image object.
Each image in a matplotlib figure has it's own colormap and normalization
Each image in a matplotlib figure has its own colormap and normalization
function. Return RGBA (RGB + alpha channel) image with float dtype.
Parameters
----------
mpl_image : matplotlib.image.AxesImage object
The image being converted.
Returns
-------
img : array of float, shape (M, N, 4)
An image of float values in [0, 1].
"""
input_range = (mpl_image.norm.vmin, mpl_image.norm.vmax)
image = rescale_intensity(mpl_image.get_array(), in_range=input_range)
image = mpl_image.cmap(img_as_float(image)) # cmap complains on bool arrays
image = mpl_image.get_array()
if image.ndim == 2:
input_range = (mpl_image.norm.vmin, mpl_image.norm.vmax)
image = rescale_intensity(image, in_range=input_range)
# cmap complains on bool arrays
image = mpl_image.cmap(img_as_float(image))
elif image.ndim == 3 and image.shape[2] == 3:
# add alpha channel if it's missing
image = np.dstack((image, np.ones_like(image)))
return img_as_float(image)