gray2rgb skimage.color.gray2rgb(image, alpha=None)

rgb2gray skimage.color.rgb2gray(rgb)

Module: viewer.utils

Module: viewer

label skimage.measure.label(input, neighbors=None, background=None, return_num=False, connectivity=None)

sum skimage.filters.rank.sum(image, selem, out=None, mask=None, shift_x=False, shift_y=False)

reconstruction skimage.morphology.reconstruction(seed, mask, method='dilation', selem=None, offset=None)

Module: viewer.widgets Widgets for interacting with ImageViewer. These widgets should be added to a Plugin subclass using its add_widget

compare_mse skimage.measure.compare_mse(im1, im2)

How to parallelize loops In image processing, we frequently apply the same algorithm on a large batch of images. In this paragraph, we propose to use