From e7edf0185070063c5c568f4dc5f3cbb614916f85 Mon Sep 17 00:00:00 2001
From: Caroline Ruffel <caroline.ruffel@c-s.fr>
Date: Tue, 21 Mar 2006 16:49:48 +0000
Subject: [PATCH] nomsg
---
Code/FeatureExtraction/otbTouziEdgeDetector.h | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/Code/FeatureExtraction/otbTouziEdgeDetector.h b/Code/FeatureExtraction/otbTouziEdgeDetector.h
index 1a15231034..f0ae82803b 100755
--- a/Code/FeatureExtraction/otbTouziEdgeDetector.h
+++ b/Code/FeatureExtraction/otbTouziEdgeDetector.h
@@ -26,10 +26,10 @@ namespace otb
* \brief Application of a filter of detection of contours.
*
* We define a square window of size 2n+1.
- * Then, we calculate the average for each half window located on both sides contour
+ * Then, we calculate the mean of each half window located on both sides of the contour
* in a given direction. The intensity of contour is then calculated in the four
- * directions vertical (\theta_{i}), horizontal (\theta_{i}), diagonal 1 (\theta_{i})
- * and diagonal 2 (\theta_{i}):
+ * directions (\theta_{i}) vertical , diagonal 1, horizontal
+ * and diagonal 2 :
* \[R(\theta_{i}) = 1 - min(\fract{\mu_{1}/\mu_{2}};\fract{\mu_{2}/\mu_{1}}) \]
*
* The exit is an image of intensity of the detection of contour:
@@ -37,8 +37,8 @@ namespace otb
*
* An image of the direction of contours can also be determined by this filter:
* \[D = \fract{\sum_{i=1}^{4} s_{i}\theta_{i}R(\theta_{i})}{\sum_{i=1}^{4} R(\theta_{i}} \[
- * where \[si \mu_{1}>\mu_{2} s_{i}=+1 \]
- * \[si \mu_{1}<\mu_{2} s_{i}=-1 \]
+ * where \[if \mu_{1}>\mu_{2} s_{i}=+1 \]
+ * \[else if \mu_{1}<\mu_{2} s_{i}=-1 \]
*
*/
--
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