From 330f5240609398f5a9afb304a2429c48da28d5a6 Mon Sep 17 00:00:00 2001
From: Jonathan Guinet <jonathan.guinet@c-s.fr>
Date: Wed, 23 Oct 2013 09:10:13 +0200
Subject: [PATCH] DOC: doc change in LSMSSamllRegionsMerging application. JIRA
 OTB #567

---
 Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx b/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
index d3ae79f6ea..c0650270b4 100644
--- a/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
+++ b/Applications/Segmentation/otbLSMSSmallRegionsMerging.cxx
@@ -75,7 +75,7 @@ private:
     SetDescription("Third (optional) step of the exact Large-Scale Mean-Shift segmentation workflow.");
 
     SetDocName("Exact Large-Scale Mean-Shift segmentation, step 3 (optional)");
-    SetDocLongDescription("This application performs the third step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image) and the original image, it will merge regions whose size in pixels is lower than minsize parameter with the adjacent regions with the adjacent region with closest radiometry and acceptable size. Small regions will be processed by size: first all regions of size 1 will be merged, then all regions of size 2, until regions of size minsize. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
+    SetDocLongDescription("This application performs the third step of the exact Large-Scale Mean-Shift segmentation workflow (LSMS). Given a segmentation result (label image) and the original image, it will merge regions whose size in pixels is lower than minsize parameter with the adjacent regions with the adjacent region with closest radiometry and acceptable size. Small regions will be processed by size: first all regions of area, which is equal to 1 pixel will be merged with adjacent region, then all regions of area equal to 2 pixels, until regions of area minsize. For large images one can use the nbtilesx and nbtilesy parameters for tile-wise processing, with the guarantees of identical results.");
     SetDocLimitations("This application is part of the Large-Scale Mean-Shift segmentation workflow (LSMS) and may not be suited for any other purpose.");
     SetDocAuthors("David Youssefi");
     SetDocSeeAlso("LSMSSegmentation, LSMSVectorization, MeanShiftSmoothing");
-- 
GitLab