Use new equalize_hist function in rank filter example

This commit is contained in:
Johannes Schönberger
2014-04-11 10:44:54 -04:00
parent e9f690d598
commit 691dc07771
@@ -193,7 +193,7 @@ from skimage.filter import rank
noisy_image = img_as_ubyte(data.camera())
# equalize globally and locally
glob = exposure.equalize(noisy_image) * 255
glob = exposure.equalize_hist(noisy_image) * 255
loc = rank.equalize(noisy_image, disk(20))
# extract histogram for each image