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Commit 1888e6d8 authored by Julien Malik's avatar Julien Malik
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DOC: fix a few typos in Segmentation application

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......@@ -140,10 +140,10 @@ private:
" ColorMapping application to render regions with contrasted colours. Please note that this mode loads the whole input image into memory, and as such"
" can not handle large images. \n\nTo segment large data, one can use the vector mode. In this case, the output of the application is a"
" vector file or database. The input image is split into tiles (whose size can be set using the tilesize parameter), and each tile is loaded, segmented"
" with the chosen algorithm, vectorized, and written into the output file or database. This piece-wise behaviour ensure that memory will never get overloaded,"
" with the chosen algorithm, vectorized, and written into the output file or database. This piece-wise behavior ensure that memory will never get overloaded,"
" and that images of any size can be processed. There are few more options in the vector mode. The simplify option allows to simplify the geometry"
" (i.e. remove nodes in polygons) according to a user-defined tolerance. The stitch option allows to application to try to stitch together polygons corresponding"
" to segmented region that may have been splitted by the tiling scheme. ");
" to segmented region that may have been split by the tiling scheme. ");
SetDocLimitations("In raster mode, the application can not handle large input images. Stitching step of vector mode might become slow with very large input images."
" MeanShift filter results depends on threads number.");
......@@ -165,14 +165,14 @@ private:
AddParameter(ParameterType_Int, "filter.meanshift.spatialr", "Spatial radius");
SetParameterDescription("filter.meanshift.spatialr", "Spatial radius of the neighborhood.");
AddParameter(ParameterType_Float, "filter.meanshift.ranger", "Range radius");
SetParameterDescription("filter.meanshift.ranger", "Range radius defining the radius (expressed in radiometry unit) in the multi-spectral space.");
SetParameterDescription("filter.meanshift.ranger", "Range radius defining the radius (expressed in radiometry unit) in the multispectral space.");
AddParameter(ParameterType_Float, "filter.meanshift.thres", "Mode convergence threshold");
SetParameterDescription("filter.meanshift.thres", "Algorithm iterative scheme will stop if mean-shift "
"vector is below this threshold or if iteration number reached maximum number of iterations.");
AddParameter(ParameterType_Int, "filter.meanshift.maxiter", "Maximum number of iterations");
SetParameterDescription("filter.meanshift.maxiter", "Algorithm iterative scheme will stop if convergence hasn't been reached after the maximum number of iterations.");
AddParameter(ParameterType_Int, "filter.meanshift.minsize", "Mininum region size");
SetParameterDescription("filter.meanshift.minsize", "Minimun size of a region (in pixel unit) in segmentation. Smaller clusters will be merged to the neighbouring cluster with the closest radiometry."
AddParameter(ParameterType_Int, "filter.meanshift.minsize", "Minimum region size");
SetParameterDescription("filter.meanshift.minsize", "Minimum size of a region (in pixel unit) in segmentation. Smaller clusters will be merged to the neighboring cluster with the closest radiometry."
" If set to 0 no pruning is done.");
//AddParameter(ParameterType_Empty, "filter.meanshift.useoptim", "use optimization");
......@@ -197,8 +197,8 @@ private:
SetParameterDescription("filter.edison.spatialr", "Spatial radius defining neighborhood.");
AddParameter(ParameterType_Float, "filter.edison.ranger", "Range radius");
SetParameterDescription("filter.edison.ranger", "Range radius defining the radius (expressed in radiometry unit) in the multi-spectral space.");
AddParameter(ParameterType_Int, "filter.edison.minsize", "Mininum region size");
SetParameterDescription("filter.edison.minsize", "Minimun size of a region in segmentation. Smaller clusters will be merged to the neighbouring cluster with the closest radiometry.");
AddParameter(ParameterType_Int, "filter.edison.minsize", "Minimum region size");
SetParameterDescription("filter.edison.minsize", "Minimum size of a region in segmentation. Smaller clusters will be merged to the neighboring cluster with the closest radiometry.");
AddParameter(ParameterType_Float, "filter.edison.scale", "Scale factor");
SetParameterDescription("filter.edison.scale", "Scaling of the image before processing. This is useful for images with narrow decimal ranges (like [0,1] for instance). ");
SetDefaultParameterInt("filter.edison.spatialr", 5);
......@@ -254,10 +254,10 @@ private:
SetParameterDescription("mode.vector.outmode.ovw","If the output vector file already exists, it is completely destroyed (including all its layers) and recreated from scratch.");
AddChoice("mode.vector.outmode.ulovw","Update output vector file, overwrite existing layer");
SetParameterDescription("mode.vector.outmode.ulovw","The output vector file is opened in update mode if existing. If the output layer already exists, it si completely destroyed and recreated from scracth.");
SetParameterDescription("mode.vector.outmode.ulovw","The output vector file is opened in update mode if existing. If the output layer already exists, it si completely destroyed and recreated from scratch.");
AddChoice("mode.vector.outmode.ulu","Update output vector file, update existing layer");
SetParameterDescription("mode.vector.outmode.ulu","The output vector file is opened in update mode if existing. If the output layer already exists, the new geometries are appened to the layer.");
SetParameterDescription("mode.vector.outmode.ulu","The output vector file is opened in update mode if existing. If the output layer already exists, the new geometries are appended to the layer.");
AddChoice("mode.vector.outmode.ulco","Update output vector file, only allow to create new layers");
SetParameterDescription("mode.vector.outmode.ulu","The output vector file is opened in update mode if existing. If the output layer already exists, the application stops, leaving it untouched.");
......
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