From 04947de7fc9379c9d50bba9713a771c9fc276029 Mon Sep 17 00:00:00 2001
From: Emmanuel Christophe <emmanuel.christophe@orfeo-toolbox.org>
Date: Thu, 23 Oct 2008 10:11:28 +0800
Subject: [PATCH] DOC: fixing ITK typo in doxygen
---
Utilities/ITK/Code/BasicFilters/itkBinaryThresholdImageFilter.h | 2 +-
.../BasicFilters/itkContourDirectedMeanDistanceImageFilter.h | 2 +-
Utilities/ITK/Code/BasicFilters/itkSigmoidImageFilter.h | 2 +-
Utilities/ITK/Code/Common/itkKLMSegmentationRegion.h | 2 +-
.../Numerics/Statistics/itkLogLikelihoodGoodnessOfFitFunction.h | 2 +-
5 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/Utilities/ITK/Code/BasicFilters/itkBinaryThresholdImageFilter.h b/Utilities/ITK/Code/BasicFilters/itkBinaryThresholdImageFilter.h
index 19e21bff4d..40dc75874c 100644
--- a/Utilities/ITK/Code/BasicFilters/itkBinaryThresholdImageFilter.h
+++ b/Utilities/ITK/Code/BasicFilters/itkBinaryThresholdImageFilter.h
@@ -37,7 +37,7 @@ namespace itk
* More precisely
* \f[ Output(x_i) =
\begin{cases}
- InsideValue & \text{if $LowerThreshold \leq x_i \leq UpperThreshold$} \ \
+ InsideValue & \text{if $LowerThreshold \leq x_i \leq UpperThreshold$} \\
OutsideValue & \text{otherwise}
\end{cases}
\f]
diff --git a/Utilities/ITK/Code/BasicFilters/itkContourDirectedMeanDistanceImageFilter.h b/Utilities/ITK/Code/BasicFilters/itkContourDirectedMeanDistanceImageFilter.h
index 27fbbe5067..d71f006b42 100644
--- a/Utilities/ITK/Code/BasicFilters/itkContourDirectedMeanDistanceImageFilter.h
+++ b/Utilities/ITK/Code/BasicFilters/itkContourDirectedMeanDistanceImageFilter.h
@@ -30,7 +30,7 @@ namespace itk {
*
* ContourDirectedMeanDistanceImageFilter computes the distance between the set
* non-zero pixels of two images using the following formula:
- * \f[ h(A,B) = \mean_{a \in A} \min_{b \in B} \| a - b\| \f]
+ * \f[ h(A,B) = mean_{a \in A} \min_{b \in B} \| a - b\| \f]
* where \f$A\f$ and \f$B\f$ are respectively the set of non-zero pixels
* in the first and second input images. It identifies the point \f$ a \in A \f$
* that is farthest from any point of \f$B\f$ and measures the distance from \f$a\f$
diff --git a/Utilities/ITK/Code/BasicFilters/itkSigmoidImageFilter.h b/Utilities/ITK/Code/BasicFilters/itkSigmoidImageFilter.h
index 94da66b661..035e274913 100644
--- a/Utilities/ITK/Code/BasicFilters/itkSigmoidImageFilter.h
+++ b/Utilities/ITK/Code/BasicFilters/itkSigmoidImageFilter.h
@@ -29,7 +29,7 @@ namespace itk
* the sigmoid fuction. The resulting total transfrom is given by
*
* \f[
- * f(x) = (Max-Min) \cdot \frac{1}{\left(1+e^{-(\frac{ x - \beta }{\alpha}\right)}} + Min
+ * f(x) = (Max-Min) \cdot \frac{1} {\left( 1+e^{-\frac{ x - \beta }{\alpha}} \right)} + Min
* \f]
*
* Every output pixel is equal to f(x). Where x is the intensity of the
diff --git a/Utilities/ITK/Code/Common/itkKLMSegmentationRegion.h b/Utilities/ITK/Code/Common/itkKLMSegmentationRegion.h
index 8af11f5e72..0ab1315b5a 100644
--- a/Utilities/ITK/Code/Common/itkKLMSegmentationRegion.h
+++ b/Utilities/ITK/Code/Common/itkKLMSegmentationRegion.h
@@ -67,7 +67,7 @@ namespace itk
* \end{tabular}\f]
*
* Region borders are shown as ``E''.
- * \f[\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|}
+ * \f[\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|}
* \hline
* C & C & C & & C & C & C & & C & C & C \\ \hline
* C & C & C & E & C & C & C & E & C & C & C \\ \hline
diff --git a/Utilities/ITK/Code/Numerics/Statistics/itkLogLikelihoodGoodnessOfFitFunction.h b/Utilities/ITK/Code/Numerics/Statistics/itkLogLikelihoodGoodnessOfFitFunction.h
index f05a862eaa..ed078e9a8a 100644
--- a/Utilities/ITK/Code/Numerics/Statistics/itkLogLikelihoodGoodnessOfFitFunction.h
+++ b/Utilities/ITK/Code/Numerics/Statistics/itkLogLikelihoodGoodnessOfFitFunction.h
@@ -31,7 +31,7 @@ namespace Statistics{
* The statistics is
* \f$ \sum^{k}_{i=1}x_{i}\log(x_{i}/n\pi_{0i}\f$
*
- * where \f$ x_{i] \f$ is the observed frequency of the \f$i\f$th bin, and
+ * where \f$ x_{i} \f$ is the observed frequency of the \f$i\f$th bin, and
* \f$n\pi_{0i}\f$ is the expected frequency.
*
*
--
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