Merge pull request #460 from zivy/correctLinks

Correct more URLs and add missing image.

Python_html/04_Image_Display.html

@@ -8038,7 +8038,7 @@ <h2 id="Inline-display-with-matplotlib">Inline display with matplotlib<a class="
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 <h2 id="Inline-display-with-matplotlib-and-ipywidgets">Inline display with matplotlib and ipywidgets<a class="anchor-link" href="#Inline-display-with-matplotlib-and-ipywidgets">¶</a></h2><p>Display two volumes side by side, with sliders to control the displayed slice. The menu on the bottom left allows you to home (return to original view), back and forward between views, pan, zoom and save a view.</p>
-<p>A variety of interfaces combining matplotlib display and ipywidgets can be found in the <a href="gui.py">gui.py</a> file.</p>
+<p>A variety of interfaces combining matplotlib display and ipywidgets can be found in the <a href="https://github.com/InsightSoftwareConsortium/SimpleITK-Notebooks/blob/master/Python/gui.py">gui.py</a> file.</p>
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Python_html/63_Registration_Initialization.html

@@ -7557,7 +7557,7 @@ <h1 id="Registration-Initialization:-We-Have-to-Start-Somewhere">Registration In
 <li>Use a sampling of the parameter space (useful mostly for low dimensional parameter spaces).</li>
 <li>Manual initialization - allow an operator to control transformation parameter settings directly using a GUI with visual feedback or identify multiple corresponding points in the two images and compute an initial rigid or affine transformation.</li>
 </ol>
-<p>In many cases we perform initialization in an automatic manner by making assumptions with regard to the contents of the image and the imaging protocol. For instance, if we expect that images were acquired with the patient in a known orientation we can align the geometric centers of the two volumes or the center of mass of the image contents if the anatomy is not centered in the image (this is what we previously did in <a href="60_Registration_Introduction.ipynb">this example</a>).</p>
+<p>In many cases we perform initialization in an automatic manner by making assumptions with regard to the contents of the image and the imaging protocol. For instance, if we expect that images were acquired with the patient in a known orientation we can align the geometric centers of the two volumes or the center of mass of the image contents if the anatomy is not centered in the image (this is what we previously did in <a href="http://insightsoftwareconsortium.github.io/SimpleITK-Notebooks/Python_html/60_Registration_Introduction.html">this example</a>).</p>
 <p>When the orientation is not known, or is known but incorrect, this approach will not yield a reasonable initial estimate for the registration.</p>
 <p>When working with clinical images, the DICOM tags define the orientation and position of the anatomy in the volume. The tags of interest are:</p>
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Python_html/70_Data_Augmentation.html

@@ -7859,7 +7859,7 @@ <h3 id="Optional:-create-corresponding-segmentation-reference-data">Optional: cr
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 <h2 id="Augmentation-using-spatial-transformations">Augmentation using spatial transformations<a class="anchor-link" href="#Augmentation-using-spatial-transformations">¶</a></h2><p>We next illustrate the generation of images by specifying a list of transformation parameter values representing a sampling of the transformation's parameter space.</p>
-<p>The code below is agnostic to the specific transformation and it is up to the user to specify a valid list of transformation parameters (correct number of parameters and correct order). To learn more about the spatial transformations supported by SimpleITK you can explore the <a href="22_Transforms.ipynb">Transforms notebook</a>.</p>
+<p>The code below is agnostic to the specific transformation and it is up to the user to specify a valid list of transformation parameters (correct number of parameters and correct order). To learn more about the spatial transformations supported by SimpleITK you can explore the <a href="http://insightsoftwareconsortium.github.io/SimpleITK-Notebooks/Python_html/22_Transforms.html">Transforms notebook</a>.</p>
 <p>In most cases we can easily specify a regular grid in parameter space by specifying ranges of values for each of the parameters. In some cases specifying parameter values may be less intuitive (i.e. versor representation of rotation).</p>
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