trivial typo correction

Signed-off-by: stefanschmie <sschmied@esrf.fr>

zUtil_Distortion/distortion_createnodes.m

-function [f_rows, f_cols, sx, sy] = distortion_createnodes(img, varargin)
+function [f_rows, f_cols, sx, sy] = distortion_createnodes(im, varargin)
 % [r, c, sx, sy] = distortion_createnodes(im, varargin)
 %   INPUTS:
 %       im - Image with a regular pattern
@@ -13,7 +13,7 @@ function [f_rows, f_cols, sx, sy] = distortion_createnodes(img, varargin)
 % distortion_createmap.m for the creation of distortion maps.
 %
 
-    if (~exist('img', 'var'))
+    if (~exist('im', 'var'))
         gtError('distortion_createnodes:wrong_argument', ...
             'Specify the source image, please!')
     end
@@ -26,23 +26,23 @@ function [f_rows, f_cols, sx, sy] = distortion_createnodes(img, varargin)
     conf = parse_pv_pairs(conf, varargin);
 
     % scale im (.. %) between 0 and 1
-    lim = [min(img(:)) max(img(:))];
-    img = (img - lim(1)) ./ (lim(2) - lim(1));
+    lim = [min(im(:)) max(im(:))];
+    im = (im - lim(1)) ./ (lim(2) - lim(1));
 
     if (conf.crop)
         fprintf('\nChoose a region completely filled with regular features\n\n')
         figure();
-        [img, rect] = imcrop(img, [0 1]); % display between 0 and 1
+        [im, rect] = imcrop(im, [0 1]); % display between 0 and 1
         sx = rect(4);
         sy = rect(3);
-        imc = imcrop(img, [sy*0.375 sx*0.375 sy*0.25 sx*0.25]);
+        imc = imcrop(im, [sy*0.375 sx*0.375 sy*0.25 sx*0.25]);
         imagesc(imc)
     else
-        sx = size(img, 1);
-        sy = size(img, 2);
-        imagesc(img)
+        sx = size(im, 1);
+        sy = size(im, 2);
+        imagesc(im)
         pause(1)
-        imc = imcrop(img, [sy*0.375 sx*0.375 sy*0.375 sx*0.375]);
+        imc = imcrop(im, [sy*0.375 sx*0.375 sy*0.375 sx*0.375]);
         imagesc(imc)
     end
 
@@ -72,7 +72,7 @@ function [f_rows, f_cols, sx, sy] = distortion_createnodes(img, varargin)
     if (conf.scale ~= 1)
         fprintf('Rescaling image with scale: %f..', conf.scale);
         % oversample the image to give better resolution
-        img = imresize(img, conf.scale);
+        im = imresize(im, conf.scale);
         feature = imresize(feature, conf.scale);
         fprintf(' Done.\n');
     end
@@ -82,7 +82,7 @@ function [f_rows, f_cols, sx, sy] = distortion_createnodes(img, varargin)
 
     fprintf('Convolution to get features..');
     % Convolve to get feature positions
-    C = conv2(img, feature, 'same');
+    C = conv2(im, feature, 'same');
     fprintf(' Done.\n');
 
     % Get rid of weak peaks
@@ -131,11 +131,11 @@ function [f_rows, f_cols, sx, sy] = distortion_createnodes(img, varargin)
     if ~isempty(conf.fname_mat)
         r = f_rows;
         c = f_cols;
-        save(conf.fname_mat, 'r', 'c', 'img', 'feature', 'sx', 'sy');
+        save(conf.fname_mat, 'r', 'c', 'im', 'feature', 'sx', 'sy');
         disp(['Nodes and image are saved in: "' conf.fname_mat '"']);
     end
 
-    imshow(img, [])
+    imshow(im, [])
     title('Nodes found:')
     xlabel('y')
     ylabel('x')