From 3f518765cb537abc1a3e60906f06a769be3a54e7 Mon Sep 17 00:00:00 2001 From: Juan Nunez-Iglesias Date: Thu, 10 Apr 2014 11:47:54 +1000 Subject: [PATCH] Fix `plot_segmentations` example text for SLIC --- doc/examples/plot_segmentations.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/examples/plot_segmentations.py b/doc/examples/plot_segmentations.py index b87dd146..abbf352d 100644 --- a/doc/examples/plot_segmentations.py +++ b/doc/examples/plot_segmentations.py @@ -51,7 +51,7 @@ and image location and is therefore closely related to quickshift. As the clustering method is simpler, it is very efficient. It is essential for this algorithm to work in Lab color space to obtain good results. The algorithm quickly gained momentum and is now widely used. See [3] for details. The -``ratio`` parameter trades off color-similarity and proximity, as in the case +``compactness`` parameter trades off color-similarity and proximity, as in the case of Quickshift, while ``n_segments`` chooses the number of centers for kmeans. .. [3] Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi,