Adding the links to the ImageProcessing examples

src/PythonicAPI.md

@@ -232,6 +232,13 @@ See [this tutorial](http://www.vtk.org/Wiki/VTK/Tutorials/3DDataTypes) for a bri
 
 ## Image Processing
 
+| Example Name | Description | Image |
+| -------------- | ------------- | ------- |
+[Attenuation](/PythonicAPI/ImageProcessing/Attenuation) | This MRI image illustrates attenuation that can occur due to sensor position.  The artifact is removed by dividing by the attenuation profile determined manually.
+[EnhanceEdges](/PythonicAPI/ImageProcessing/EnhanceEdges) | High-pass filters can extract and enhance edges in an image. Subtraction of the Laplacian (middle) from the original image (left) results in edge enhancement or a sharpening operation (right).
+[GaussianSmooth](/PythonicAPI/ImageProcessing/GaussianSmooth) | Low-pass filters can be implemented as convolution with a Gaussian kernel.
+[VTKSpectrum](/PythonicAPI/ImageProcessing/VTKSpectrum) | The discrete Fourier transform changes an image from the spatial domain into the frequency domain, where each pixel represents a sinusoidal function. This figure shows an image and its power spectrum displayed using a logarithmic transfer function.
+
 ## Widgets
 
 ## Plotting

src/PythonicAPIComments.md

@@ -124,6 +124,14 @@ Pipelines can be reused.
 | -------------- | ---------------------- | ------- |
 [PipelineReuse](/PythonicAPI/GeometricObjects/PipelineReuse) | Here we use the pipeline in a functional way. This allows us to reuse the pipeline, here, p(cone()) returns a data object so any changes to the pipeline afterward would not be automatically propagated to the rendering pipeline. Finally, we use an append filter to combine the cone and cylinder.
 
+## Grouping pipelines
+
+Grpuping the pipelines into code blocks may improve the readability of the code.
+
+| Example Name | Comments | Image |
+| -------------- | ---------------------- | ------- |
+[EnhanceEdges](/PythonicAPI/ImageProcessing/EnhanceEdges) | The pipelines are grouped into a single code block. This may make understanding the code easier.
+
 ## How to handle #defines
 
 This example is relatively complex in that a single source feeds into two functions `generate_gaussian_curvatures(...)` and `generate_mean_curvatures(...)` returning filters, scalar ranges of curvatures and elevation along with the lookup tables. Additionally a text widget and scalar bar widgets are positioned into two viewports.