From 22224727d3be1d0d53756bfdc480eef4ae9a158b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20Sch=C3=B6nberger?= <jschoenberger@demuc.de>
Date: Wed, 1 May 2013 14:14:09 +0200
Subject: [PATCH] Add example for ransac and geometric transforms

---
 skimage/measure/fit.py | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/skimage/measure/fit.py b/skimage/measure/fit.py
index ac55534e..bf491688 100644
--- a/skimage/measure/fit.py
+++ b/skimage/measure/fit.py
@@ -603,6 +603,23 @@ def ransac(data, model_class, min_samples, residual_threshold,
          21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37,
          38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])
 
+    Robustly estimate geometric transformation:
+
+    >>> from skimage.transform import SimilarityTransform
+    >>> src = 100 * np.random.random((50, 2))
+    >>> model0 = SimilarityTransform(scale=0.5, rotation=1,
+    ...                              translation=(10, 20))
+    >>> dst = model0(src)
+    >>> dst[0] = (10000, 10000)
+    >>> dst[1] = (-100, 100)
+    >>> dst[2] = (50, 50)
+    >>> model, inliers = ransac((src, dst), SimilarityTransform, 2, 10)
+    >>> inliers
+    array([ 3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
+       20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,
+       37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])
+
+
     """
 
     best_model = None