From bc1582ced28877d104a6a397b0a6ff59f4e4fb0f Mon Sep 17 00:00:00 2001 From: Emmanuelle Gouillart Date: Mon, 27 Aug 2012 12:18:14 +0200 Subject: [PATCH] acronym --> full name of algorithm in example --- doc/examples/plot_segmentations.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/doc/examples/plot_segmentations.py b/doc/examples/plot_segmentations.py index a8ee7cea..99bfefcc 100644 --- a/doc/examples/plot_segmentations.py +++ b/doc/examples/plot_segmentations.py @@ -7,7 +7,8 @@ This example compares three popular low-level image segmentation methods. As it is difficult to obtain good segmentations, and the definition of "good" often depends on the application, these methods are usually used for obtaining an oversegmentation, also known as superpixels. These superpixels then serve as -a basis for more sophisticated algorithms such as CRFs. +a basis for more sophisticated algorithms such as conditional random fields +(CRF). Felzenszwalb's efficient graph based segmentation