[GRASS-SVN] r69899 - grass/trunk/raster/r.texture

[svn_grass at osgeo.org]

Author: mmetz
Date: 2016-11-24 12:59:25 -0800 (Thu, 24 Nov 2016)
New Revision: 69899

Modified:
   grass/trunk/raster/r.texture/main.c
   grass/trunk/raster/r.texture/r.texture.html
Log:
r.texture: update manual

Modified: grass/trunk/raster/r.texture/main.c
===================================================================
--- grass/trunk/raster/r.texture/main.c	2016-11-24 20:12:47 UTC (rev 69898)
+++ grass/trunk/raster/r.texture/main.c	2016-11-24 20:59:25 UTC (rev 69899)
@@ -149,7 +149,9 @@
 
     flag_ind = G_define_flag();
     flag_ind->key = 's';
-    flag_ind->description = _("Separate output for each angle (0, 45, 90, 135)");
+    flag_ind->label = _("Separate output for each angle (0, 45, 90, 135)");
+    flag_ind->description = _("Angles are counterclockwise from east: "
+                              "0 is East to West, 45 is North-East to South-West");
 
     flag_all = G_define_flag();
     flag_all->key = 'a';

Modified: grass/trunk/raster/r.texture/r.texture.html
===================================================================
--- grass/trunk/raster/r.texture/r.texture.html	2016-11-24 20:12:47 UTC (rev 69898)
+++ grass/trunk/raster/r.texture/r.texture.html	2016-11-24 20:59:25 UTC (rev 69899)
@@ -40,9 +40,10 @@
 <p>
 <em>r.texture</em> assumes grey levels ranging from 0 to 255 as input. 
 The input is automatically rescaled to 0 to 255 if the input map range is outside
-of this range.  In order to reduce noise in the input data, and to speed up processing, 
-it is recommended that the user recode the data using equal-probability quantization. 
-Quantization rules for <em>r.recode</em> can be generated with <em>r.quantile -r</em>
+of this range or within the range [0, 1]. In order to reduce noise in the 
+input data, and to speed up processing, it is recommended that the user 
+recode the data using equal-probability quantization. Quantization rules 
+for <em>r.recode</em> can be generated with <em>r.quantile -r</em>
 using e.g 16 or 32 quantiles (see example below).