diff --git a/Applications/Utils/otbColorMapping.cxx b/Applications/Utils/otbColorMapping.cxx index a5c6fdd2536942cb0f2f792c6c4e72a9c4e6c6f8..5588347aaeaf7f47da4a9e7f706bf778e6028536 100644 --- a/Applications/Utils/otbColorMapping.cxx +++ b/Applications/Utils/otbColorMapping.cxx @@ -397,7 +397,7 @@ private: " adjacent segmented regions is maximised. 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->label " + 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."); SetDocAuthors("OTB-Team"); SetDocSeeAlso("ImageSVMClassifier"); @@ -485,9 +485,9 @@ private: // Optimal LUT AddChoice("method.optimal","Compute an optimised look-up table"); - SetParameterDescription("method.optimal","[label->color] Compute an optimal look-up table such that neighbouring labels" + SetParameterDescription("method.optimal","[label to color] Compute an optimal look-up table such that neighbouring labels" " in a segmentation are mapped to highly contrasted colors.\n" - "[color->label] Searching all the colors present in the image to compute a continuous label list"); + "[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"); SetParameterDescription("method.optimal.background","Value of the background label"); SetParameterInt("method.optimal.background", 0);