viewer = ImageViewer(image)
viewer.show()
#%%
from skimage.viewer.plugins.lineprofile import LineProfile
viewer = ImageViewer(image)
viewer += LineProfile(viewer)
overlay, data = viewer.show()[0]
#%%
from skimage.viewer.widgets import Slider
from skimage.viewer.widgets.history import SaveButtons
denoise_plugin += Slider('weight', 0.01, 0.5, update_on='release')
denoise_plugin += SaveButtons()
#%%
from skimage import data
from skimage.filter import canny
from skimage.viewer import ImageViewer
from skimage.viewer.widgets import Slider
from skimage.viewer.widgets.history import SaveButtons
from skimage.viewer.plugins.overlayplugin import OverlayPlugin
image = data.camera()
# You can create a UI for a filter just by passing a filter function...
plugin = OverlayPlugin(image_filter=canny)
# ... and adding widgets to adjust parameter values.
plugin += Slider('sigma', 0, 5, update_on='release')
plugin += Slider('low threshold', 0, 255, update_on='release')
plugin += Slider('high threshold', 0, 255, update_on='release')
# ... and we can also add buttons to save the overlay:
plugin += SaveButtons(name='Save overlay to:')
# Finally, attach the plugin to an image viewer.
viewer = ImageViewer(image)
viewer += plugin
viewer.show()
from skimage import data
from skimage.filter import median_filter
from skimage.viewer import ImageViewer
from skimage.viewer.widgets import Slider
from skimage.viewer.widgets.history import OKCancelButtons, SaveButtons
from skimage.viewer.plugins.base import Plugin
image = data.coins()
viewer = ImageViewer(image)
plugin = Plugin(image_filter=median_filter)
plugin += Slider('radius', 2, 10, value_type='int', update_on='release')
plugin += SaveButtons()
plugin += OKCancelButtons()
viewer += plugin
viewer.show()