Documentation improvements.

Emgu.CV.Cuda/CudaInvoke.cs

@@ -1029,6 +1029,7 @@ namespace Emgu.CV.Cuda
         /// <param name="maxValue">Maximum value to use with CV_THRESH_BINARY and CV_THRESH_BINARY_INV thresholding types</param>
         /// <param name="thresholdType">Thresholding type</param>
         /// <param name="stream">Use a Stream to call the function asynchronously (non-blocking) or null to call the function synchronously (blocking).</param>
+        /// <returns>The computed threshold value if Otsu's or Triangle methods used.</returns>
         public static double Threshold(IInputArray src, IOutputArray dst, double threshold, double maxValue, CvEnum.ThresholdType thresholdType, Stream stream = null)
         {
             using (InputArray iaSrc = src.GetInputArray())

Emgu.CV.Cuda/Imgproc/CudaHarrisCorner.cs

@@ -26,11 +26,17 @@ namespace Emgu.CV.Cuda
       /// </summary>
       /// <param name="srcDepth">The depth of the source image</param>
       /// <param name="srcChannels">The number of channels in the source image</param>
-      /// <param name="blockSize">Neighborhood size </param>
-      /// <param name="kSize"></param>
+      /// <param name="blockSize">Neighborhood size.</param>
+      /// <param name="kSize">Kernel size</param>
       /// <param name="k">Harris detector free parameter.</param>
-      /// <param name="borderType">Boreder type, use REFLECT101 for default</param>
-      public CudaHarrisCorner(DepthType srcDepth, int srcChannels, int blockSize, int kSize, double k, CvEnum.BorderType borderType = BorderType.Default)
+      /// <param name="borderType">Border type.</param>
+      public CudaHarrisCorner(
+          DepthType srcDepth, 
+          int srcChannels, 
+          int blockSize, 
+          int kSize, 
+          double k, 
+          CvEnum.BorderType borderType = BorderType.Default)
       {
          _ptr = CudaInvoke.cudaCreateHarrisCorner(CvInvoke.MakeType(srcDepth, srcChannels), blockSize, kSize, k, borderType, ref _sharedPtr);
       }

Emgu.CV.Platform/DotNet/Operation.cs

@@ -51,7 +51,7 @@ namespace Emgu.CV.UI
       /// Call the specific method with the specific parameters on the provided <paramref name="instance"/>
       /// </summary>
       /// <param name="instance">The instance to call the method</param>
-      /// <returns></returns>
+      /// <returns>The result from invoking the specific method.</returns>
       public Object InvokeMethod(Object instance)
       {
          if (!_mi.ContainsGenericParameters)
@@ -76,7 +76,7 @@ namespace Emgu.CV.UI
       /// <summary>
       /// Represent this operation as a string
       /// </summary>
-      /// <returns></returns>
+      /// <returns>The String representation of the operation</returns>
       public override string ToString()
       {
          return String.Format(
@@ -89,6 +89,7 @@ namespace Emgu.CV.UI
       /// <summary>
       /// Represent this operation as code
       /// </summary>
+      /// <param name="language">The programming language</param>
       /// <returns>The source code</returns>
       public String ToCode(ProgrammingLanguage language)
       {

Emgu.CV.Platform/Emgu.CV.Bitmap/BitmapExtension.cs

@@ -83,7 +83,7 @@ namespace Emgu.CV
         /// <param name="numberOfChannels">The number of channels</param>
         /// <param name="srcDepthType">The source image depth type</param>
         /// <param name="tryDataSharing">Try to create Bitmap that shares the data with the image</param>
-        /// <returns>The Bitmap</returns>
+        /// <returns>A bitmap representation of the image.</returns>
         public static Bitmap RawDataToBitmap(IntPtr scan0, int step, Size size, Type srcColorType, int numberOfChannels,
             Type srcDepthType, bool tryDataSharing = false)
         {
@@ -206,6 +206,7 @@ namespace Emgu.CV
         /// <summary>
         /// Convert the mat into Bitmap, the pixel values are copied over to the Bitmap
         /// </summary>
+        /// <returns>A bitmap representation of the image.</returns>
         public static Bitmap ToBitmap(this Mat mat)
         {
             if (mat.Dims > 3)
@@ -266,6 +267,7 @@ namespace Emgu.CV
         /// <summary>
         /// Convert the gpuMat into Bitmap, the pixel values are copied over to the Bitmap
         /// </summary>
+        /// <returns>A bitmap representation of the image.</returns>
         public static Bitmap ToBitmap(this GpuMat gpuMat)
         {
             using (Mat tmp = new Mat())
@@ -280,6 +282,7 @@ namespace Emgu.CV
         /// </summary>
         /// <typeparam name="TColor">The color type of the Image</typeparam>
         /// <typeparam name="TDepth">The depth type of the Image</typeparam>
+        /// <returns>The Image &lt; TColor, TDepth &gt; converted from Bitmap</returns>
         public static Image<TColor, TDepth> ToImage<TColor, TDepth>(this Bitmap bitmap) where
             TColor : struct, IColor
             where TDepth : new()
@@ -594,6 +597,7 @@ namespace Emgu.CV
         /// </summary>
         /// <typeparam name="TColor">The color type of the CudaImage</typeparam>
         /// <typeparam name="TDepth">The depth type of the CudaImage</typeparam>
+        /// <returns> This image in Bitmap format, the pixel data are copied over to the Bitmap</returns>
         public static Bitmap ToBitmap<TColor, TDepth>(this CudaImage<TColor, TDepth> cudaImage) where
             TColor : struct, IColor
             where TDepth : new()

Emgu.CV/PInvoke/CvInvokeCore.cs

@@ -848,6 +848,7 @@ namespace Emgu.CV
         /// <param name="coeffs">The (degree + 1)-length array of equation coefficients (CV_32FC1 or CV_64FC1)</param>
         /// <param name="roots">The degree-length output array of real or complex roots (CV_32FC2 or CV_64FC2)</param>
         /// <param name="maxiter">The maximum number of iterations</param>
+        /// <returns>The max difference.</returns>
         public static double SolvePoly(IInputArray coeffs, IOutputArray roots, int maxiter = 300)
         {
             using (InputArray iaCoeffs = coeffs.GetInputArray())

Emgu.CV/PInvoke/CvInvokeImgproc.cs

@@ -1344,6 +1344,7 @@ namespace Emgu.CV
         /// <param name="threshold">Threshold value</param>
         /// <param name="maxValue">Maximum value to use with CV_THRESH_BINARY and CV_THRESH_BINARY_INV thresholding types</param>
         /// <param name="thresholdType">Thresholding type </param>
+        /// <returns>The computed threshold value if Otsu's or Triangle methods used.</returns>
         public static double Threshold(
            IInputArray src,
            IOutputArray dst,

Emgu.CV/Stitching/ExposureCompensator.cs

@@ -75,7 +75,7 @@ namespace Emgu.CV.Stitching
         /// <summary>
         /// Create a new gain compensator
         /// </summary>
-        /// <param name="nrFeeds"></param>
+        /// <param name="nrFeeds">nr feeds</param>
         public GainCompensator(int nrFeeds)
         {
             _ptr = StitchingInvoke.cveGainCompensatorCreate(nrFeeds, ref _exposureCompensatorPtr);
@@ -102,7 +102,7 @@ namespace Emgu.CV.Stitching
         /// <summary>
         /// Create a new exposure compensator
         /// </summary>
-        /// <param name="nrFeeds"></param>
+        /// <param name="nrFeeds">nr feeds</param>
         public ChannelsCompensator(int nrFeeds)
         {
             _ptr = StitchingInvoke.cveChannelsCompensatorCreate(nrFeeds, ref _exposureCompensatorPtr);
@@ -152,7 +152,7 @@ namespace Emgu.CV.Stitching
         /// </summary>
         /// <param name="blWidth">block width</param>
         /// <param name="blHeight">block height</param>
-        /// <param name="nrFeeds"></param>
+        /// <param name="nrFeeds">nr feeds</param>
         public BlocksGainCompensator(int blWidth = 32, int blHeight = 32, int nrFeeds = 1)
         {
             _ptr = StitchingInvoke.cveBlocksGainCompensatorCreate(blWidth, blHeight, nrFeeds,
@@ -183,7 +183,7 @@ namespace Emgu.CV.Stitching
         /// </summary>
         /// <param name="blWidth">Block width</param>
         /// <param name="blHeight">Block height</param>
-        /// <param name="nrFeeds"></param>
+        /// <param name="nrFeeds">nr feeds</param>
         public BlocksChannelsCompensator(int blWidth = 32, int blHeight = 32, int nrFeeds = 1)
         {
             _ptr = StitchingInvoke.cveBlocksChannelsCompensatorCreate(blWidth, blHeight, nrFeeds,

Emgu.CV/Superres/FrameSource.cs

@@ -62,6 +62,7 @@ namespace Emgu.CV.Superres
         /// <summary>
         /// Get the next frame
         /// </summary>
+        /// <param name="frame">The output array to put the frame to</param>
         public void NextFrame(IOutputArray frame)
         {
             using (OutputArray oaFrame = frame.GetOutputArray())

Emgu.CV/Videoio/VideoCapture.cs

@@ -522,6 +522,7 @@ namespace Emgu.CV
         /// First call Grab() function follows by Retrieve()
         /// </summary>
         /// <param name="m">The output array where the image will be read into.</param>
+        /// <returns>False if no frames has been grabbed</returns>
         public bool Read(IOutputArray m)
         {
             using (OutputArray oaM = m.GetOutputArray())

miscellaneous/Emgu.CV.html.shfbproj

@@ -43,7 +43,7 @@
       <DocumentationSource sourceFile="..\Solution\Windows.Desktop\Emgu.CV.sln" />
     </DocumentationSources>
     <NamespaceSummaries>
-      <NamespaceSummaryItem name="(global)" isDocumented="True">Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices.</NamespaceSummaryItem>
+      <NamespaceSummaryItem name="(global)" isDocumented="True">Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS, iPhone, iPad and Android devices.</NamespaceSummaryItem>
       <NamespaceSummaryItem name="Emgu" isDocumented="True">Root namespace for class and functions implemented by Emgu</NamespaceSummaryItem>
       <NamespaceSummaryItem name="Emgu.CV" isDocumented="True">Wrapper of OpenCV's image processing functions. 
 Base functions (L1) can be found in CvInvoke class</NamespaceSummaryItem>
@@ -66,7 +66,6 @@ Base functions (L1) can be found in CvInvoke class</NamespaceSummaryItem>
       <NamespaceSummaryItem name="Emgu.CV.Tiff" isDocumented="True">Contains writer classes that can be used to write different tiff formats, such as tile tiff and geotiff.</NamespaceSummaryItem>
       <NamespaceSummaryItem name="Emgu.CV.Util" isDocumented="True">A collection of utilities used by Emgu.CV projects</NamespaceSummaryItem>
       <NamespaceSummaryItem name="Emgu.CV.OCR" isDocumented="True">Optical character recognition. Wraps the tesseract-ocr engine.</NamespaceSummaryItem>
-      <NamespaceSummaryItem name="Emgu.CV.Cvb" isDocumented="True">Contains interface for the CvBlob library</NamespaceSummaryItem>
       <NamespaceSummaryItem name="Emgu.CV.Stitching" isDocumented="True">Image stitching</NamespaceSummaryItem>
       <NamespaceSummaryItem name="Emgu.CV.VideoStab" isDocumented="True">The video stabilization module contains a set of functions and classes that can be used to solve the problem of video stabilization.</NamespaceSummaryItem>
       <NamespaceSummaryItem name="Emgu.CV.OpenCL" isDocumented="True">Computer vision using OpenCL</NamespaceSummaryItem>
@@ -97,6 +96,9 @@ Base functions (L1) can be found in CvInvoke class</NamespaceSummaryItem>
 	  <NamespaceSummaryItem name="Emgu.CV.PpfMatch3d" isDocumented="True">Surface Matching module</NamespaceSummaryItem>
 	  <NamespaceSummaryItem name="Emgu.CV.Rapid" isDocumented="True">Silhouette based 3D object tracking</NamespaceSummaryItem>
 	  <NamespaceSummaryItem name="Emgu.CV.IntensityTransform" isDocumented="True">The module brings implementations of intensity transformation algorithms to adjust image contrast.</NamespaceSummaryItem>
+	  <NamespaceSummaryItem name="Emgu.CV.Alphamat" isDocumented="True">Information Flow algorithm implementaton for alphamatting</NamespaceSummaryItem>
+	  <NamespaceSummaryItem name="Emgu.CV.Quality" isDocumented="True">Image Quality Analysis (IQA) API</NamespaceSummaryItem>
+	  <NamespaceSummaryItem name="Emgu.CV.Stereo" isDocumented="True">Stereo API</NamespaceSummaryItem>
     </NamespaceSummaries>
     <PlugInConfigurations>
     </PlugInConfigurations>