From 6abb07a10029b3fb5e83596156a1860916840b71 Mon Sep 17 00:00:00 2001
From: Mickael Savinaud <mickael.savinaud@c-s.fr>
Date: Tue, 26 Jun 2012 15:15:46 +0200
Subject: [PATCH] STYLE
---
Applications/Utils/otbColorMapping.cxx | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/Applications/Utils/otbColorMapping.cxx b/Applications/Utils/otbColorMapping.cxx
index eb40e70e7b..e04aa5efc8 100644
--- a/Applications/Utils/otbColorMapping.cxx
+++ b/Applications/Utils/otbColorMapping.cxx
@@ -394,11 +394,11 @@ private:
"to a colored image using continuous look-up table, in order to enhance image interpretation. Several "
"look-up tables can been chosen with different color ranges.\n-The optimal method computes an optimal "
"look-up table. When processing a segmentation label image (label to color), the color difference between"
- " adjacent segmented regions is maximised. When processing an unknown color image (color to label), all "
+ " adjacent segmented regions is maximized. When processing an unknown color image (color to label), all "
"the present colors are mapped to a continuous label list.\n - The support image method uses a color support "
"image to associate an average color to each region.");
SetDocLimitations("The segmentation optimal method does not support streaming, and thus large images. The operation color to label "
- "is not implemented for the methods continuous LUT and support image LUT.\n ColorMapping uisng support image is not threaded.");
+ "is not implemented for the methods continuous LUT and support image LUT.\n ColorMapping using support image is not threaded.");
SetDocAuthors("OTB-Team");
SetDocSeeAlso("ImageSVMClassifier");
@@ -487,8 +487,8 @@ private:
SetParameterFloat("method.continuous.max", 255.);
// Optimal LUT
- AddChoice("method.optimal","Compute an optimised look-up table");
- SetParameterDescription("method.optimal","[label to color] Compute an optimal look-up table such that neighbouring labels"
+ AddChoice("method.optimal","Compute an optimized look-up table");
+ SetParameterDescription("method.optimal","[label to color] Compute an optimal look-up table such that neighboring labels"
" in a segmentation are mapped to highly contrasted colors.\n"
"[color to label] Searching all the colors present in the image to compute a continuous label list");
AddParameter(ParameterType_Int,"method.optimal.background", "Background label");
@@ -503,13 +503,13 @@ private:
SetParameterDescription("method.image.in", "Support image filename. LUT is calculated using the mean af pixel value on the area."
" First of all image is normalized with extrema rejection");
AddParameter(ParameterType_Int, "method.image.low", "lower quantile");
- SetParameterDescription("method.image.low","lower quantile for image normalisation");
+ SetParameterDescription("method.image.low","lower quantile for image normalization");
MandatoryOff("method.image.low");
SetParameterInt("method.image.low", 2);
SetMinimumParameterIntValue("method.image.low", 0);
SetMaximumParameterIntValue("method.image.low", 100);
AddParameter(ParameterType_Int, "method.image.up", "upper quantile");
- SetParameterDescription("method.image.up","upper quantile for image normalisation");
+ SetParameterDescription("method.image.up","upper quantile for image normalization");
MandatoryOff("method.image.up");
SetParameterInt("method.image.up", 2);
SetMinimumParameterIntValue("method.image.up", 0);
--
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