STYLE: Repace x with $times$ for better visualization

Author: hjmjohnson

SoftwareGuide/Latex/02-Cover-Book2.tex

@@ -4,7 +4,8 @@
 \chapter*{About the Cover}
 
 The cover image consists of a photograph of ABS plastic anatomical objects
-printed with a MakerBot Replicator 2X 3D printer. Mesh STL files were generated from the images with VTK.
+printed with a \verb|MakerBot Replicator 2X 3D| printer.
+Mesh STL files were generated from the images with VTK.
 
 \begin{description}
 

SoftwareGuide/Latex/Architecture/Iterators.tex

@@ -450,7 +450,7 @@ \section{Neighborhood Iterators}
 Section~\ref{sec:IteratorsInterface} and the same code constructs as normal
 iterators for looping through an
 image. Figure~\ref{fig:NeighborhoodIteratorFig1} shows a neighborhood iterator
-moving through an iteration region.  This iterator defines a $3x3$ neighborhood
+moving through an iteration region.  This iterator defines a 3$\times$3 neighborhood
 around each pixel that it visits. The \emph{center} of the neighborhood
 iterator is always positioned over its current index and all other neighborhood
 pixel indices are referenced as offsets from the center index.  The pixel
@@ -460,7 +460,7 @@ \section{Neighborhood Iterators}
 \begin{figure}
 \centering
 \includegraphics[width=0.6\textwidth]{NeighborhoodIteratorFig1.eps}
-\itkcaption[Neighborhood iterator]{Path of a $3x3$ neighborhood
+\itkcaption[Neighborhood iterator]{Path of a 3$\times$3 neighborhood
 iterator through a 2D image region.  The extent of the neighborhood is
 indicated by the hashing around the iterator position. Pixels that lie within
 this extent are accessible through the iterator.  An arrow denotes a single
@@ -540,7 +540,7 @@ \section{Neighborhood Iterators}
 
 Another way to think about a pixel location in a neighborhood is as an
 ND offset from the neighborhood center.  The upper-left-forward corner
-of a $3x3x3$ neighborhood, for example, can be described by offset
+of a 3$\times$3$\times$3 neighborhood, for example, can be described by offset
 $(-1, -1, -1)$.  The bottom-right-back corner of the same neighborhood
 is at offset $(1, 1, 1)$.  In
 Figure~\ref{fig:NeighborhoodIteratorFig2}, the offset from center is

SoftwareGuide/Latex/DesignAndFunctionality/Filtering.tex

@@ -174,7 +174,8 @@ \subsubsection{Binary Median Filter}
 
 The typical effect of median filtration on a noisy digital image is a dramatic reduction in impulse noise spikes. The filter also tends to preserve brightness differences across signal steps, resulting in reduced blurring of regional boundaries. The filter also tends to preserve the positions of boundaries in an image.
 
-Figure \ref{fig:BinaryMedianImageFilterOutputMultipleIterations} below shows the effect of running the median filter with a 3x3 classical window size
+Figure~\ref{fig:BinaryMedianImageFilterOutputMultipleIterations} below shows the effect of running the median filter
+with a 3$times$3 classical window size
 1, 10 and 50 times. There is a tradeoff in noise reduction and the sharpness of the image when the window size is increased\begin{figure}
   \center
   \includegraphics[width=0.44\textwidth]{BinaryMedianImageFilterOutput1.eps}