Some reST syntax correction. Now the PDF documentation builds correctly under Windows using MIKTEX. Some update on the tutorial structure. Some CSS syntax correction. Windows Install Tutorial v0.4.

doc/tutorials/imgproc/imgtrans/canny_detector/canny_detector.rst

@@ -27,12 +27,12 @@ Steps
    .. math::
    
       K = \dfrac{1}{159}\begin{bmatrix}
-			    2 & 4 & 5 & 4 & 2 \\
-			    4 & 9 & 12 & 9 & 4 \\
-			    5 & 12 & 15 & 12 & 5 \\
-			    4 & 9 & 12 & 9 & 4 \\
-			    2 & 4 & 5 & 4 & 2 
-              		    \end{bmatrix} 
+                2 & 4 & 5 & 4 & 2 \\
+                4 & 9 & 12 & 9 & 4 \\
+                5 & 12 & 15 & 12 & 5 \\
+                4 & 9 & 12 & 9 & 4 \\
+                2 & 4 & 5 & 4 & 2 
+                        \end{bmatrix} 
 
 
 #. Find the intensity gradient of the image. For this, we follow a procedure analogous to Sobel: 
@@ -206,7 +206,8 @@ Explanation
 #. Create a window to display the results
 
    .. code-block:: cpp
-     namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+
+      namedWindow( window_name, CV_WINDOW_AUTOSIZE );
 
 #. Create a Trackbar for the user to enter the lower threshold for our Canny detector:
 

doc/tutorials/imgproc/imgtrans/copyMakeBorder/copyMakeBorder.rst

@@ -1,4 +1,4 @@
-.. _copyMakeBorder:
+.. _copyMakeBorderTutorial:
 
 Adding borders to your images
 ******************************

doc/tutorials/imgproc/imgtrans/filter_2d/filter_2d.rst

@@ -132,6 +132,7 @@ Code
   
      return 0;
    }
+
 Explanation
 =============
 

doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.rst

@@ -30,9 +30,9 @@ How does it work?
    b. In the **Polar coordinate system:** Parameters: :math:`(r,\theta)`
 
    .. image:: images/Hough_Lines_Tutorial_Theory_0.jpg
-      	   :alt: Line variables
-	   :height: 200pt
-   	   :align: center 
+      :alt: Line variables
+      :height: 200pt
+      :align: center 
 
    For Hough Transforms, we will express lines in the *Polar system*. Hence, a line equation can be written as: 
 
@@ -53,18 +53,19 @@ How does it work?
 #. If for a given :math:`(x_{0}, y_{0})` we plot the family of lines that goes through it, we get a sinusoid. For instance, for :math:`x_{0} = 8` and :math:`y_{0} = 6` we get the following plot (in a plane :math:`\theta` - :math:`r`):
 
    .. image:: images/Hough_Lines_Tutorial_Theory_1.jpg
-      	   :alt: Polar plot of a the family of lines of a point
-	   :height: 200pt
-   	   :align: center 
+      :alt: Polar plot of a the family of lines of a point
+      :height: 200pt
+      :align: center 
 
    We consider only points such that :math:`r > 0` and :math:`0< \theta < 2 \pi`. 
 
 #. We can do the same operation above for all the points in an image. If the curves of two different points intersect in the plane :math:`\theta` - :math:`r`, that means that both points belong to a same line. For instance, following with the example above and drawing the plot for two more points: :math:`x_{1} = 9`, :math:`y_{1} = 4` and :math:`x_{2} = 12`, :math:`y_{2} = 3`, we get:
 
    .. image:: images/Hough_Lines_Tutorial_Theory_2.jpg
-      	   :alt: Polar plot of the family of lines for three points
-	   :height: 200pt
-   	   :align: center 
+      :alt: Polar plot of the family of lines for three points
+      :height: 200pt
+      :align: center 
+
    The three plots intersect in one single point :math:`(0.925, 9.6)`, these coordinates are the parameters (:math:`\theta, r`) or the line in which :math:`(x_{0}, y_{0})`, :math:`(x_{1}, y_{1})` and :math:`(x_{2}, y_{2})` lay. 
 
 #. What does all the stuff above mean? It means that in general, a line can be *detected* by finding the number of intersections between curves.The more curves intersecting means that the line represented by that intersection have more points. In general, we can define a *threshold* of the minimum number of intersections needed to *detect* a line.
@@ -276,14 +277,14 @@ Result
 Using an input image such as:
 
 .. image:: images/Hough_Lines_Tutorial_Original_Image.jpg
-        :alt: Result of detecting lines with Hough Transform
-        :align: center 
+   :alt: Result of detecting lines with Hough Transform
+   :align: center 
  
 We get the following result by using the Probabilistic Hough Line Transform:
 
 .. image:: images/Hough_Lines_Tutorial_Result.jpg
-        :alt: Result of detecting lines with Hough Transform
-        :align: center 
+   :alt: Result of detecting lines with Hough Transform
+   :align: center 
 
 You may observe that the number of lines detected vary while you change the *threshold*. The explanation is sort of evident: If you establish a higher threshold, fewer lines will be detected (since you will need more points to declare a line detected). 
 

doc/tutorials/imgproc/imgtrans/sobel_derivatives/sobel_derivatives.rst

@@ -231,6 +231,7 @@ Explanation
       Sobel( src_gray, grad_x, ddepth, 1, 0, 3, scale, delta, BORDER_DEFAULT );   
       /// Gradient Y  
       Sobel( src_gray, grad_y, ddepth, 0, 1, 3, scale, delta, BORDER_DEFAULT );   
+
    The function takes the following arguments:
 
    * *src_gray*: In our example, the input image. Here it is *CV_8U*