diff --git a/Applications/Utils/otbColorMapping.cxx b/Applications/Utils/otbColorMapping.cxx index 18db3d6cb67ecbd4c021161edafb97611d2a61a8..84c9656449f83a43f60402fdfe5cff7d0ea48f18 100644 --- a/Applications/Utils/otbColorMapping.cxx +++ b/Applications/Utils/otbColorMapping.cxx @@ -388,17 +388,17 @@ private: SetDocName("Color Mapping"); SetDocLongDescription("This application allows to map a label image to a 8-bits RGB image (in both ways) using different methods.\n" - "-The custom method allows to use a custom look-up table. The look-up table is loaded " + " -The custom method allows to use a custom look-up table. The look-up table is loaded " "from a text file where each line describes an entry. The typical use of this method is to colorise a " - "classification map.\n-The continuous method allows to map a range of values in a scalar input image " + "classification map.\n -The continuous method allows to map a range of values in a scalar input image " "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 " - "the present colors are mapped to a continuous label list.\n-The support image method uses a color support " + "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 " - "is not implemented for the methods continuous LUT and support image LUT"); + "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 application"); AddDocTag(Tags::Learning);