.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_segmentation_plot_rag_boundary.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_segmentation_plot_rag_boundary.py:


==========================
Region Boundary based RAGs
==========================

Construct a region boundary RAG with the ``rag_boundary`` function. The
function  :py:func:`skimage.future.graph.rag_boundary` takes an
``edge_map`` argument, which gives the significance of a feature (such as
edges) being present at each pixel. In a region boundary RAG, the edge weight
between two regions is the average value of the corresponding pixels in
``edge_map`` along their shared boundary.





.. code-block:: pytb

    Traceback (most recent call last):
      File "/build/skimage-Lp2Zl4/skimage-0.16.2/doc/examples/segmentation/plot_rag_boundary.py", line 1
        ==========================
        ^
    SyntaxError: invalid syntax





.. code-block:: python

    ==========================
    Region Boundary based RAGs
    ==========================

    Construct a region boundary RAG with the ``rag_boundary`` function. The
    function  :py:func:`skimage.future.graph.rag_boundary` takes an
    ``edge_map`` argument, which gives the significance of a feature (such as
    edges) being present at each pixel. In a region boundary RAG, the edge weight
    between two regions is the average value of the corresponding pixels in
    ``edge_map`` along their shared boundary.

    """
    from skimage.future import graph
    from skimage import data, segmentation, color, filters, io
    from matplotlib import pyplot as plt


    img = data.coffee()
    gimg = color.rgb2gray(img)

    labels = segmentation.slic(img, compactness=30, n_segments=400)
    edges = filters.sobel(gimg)
    edges_rgb = color.gray2rgb(edges)

    g = graph.rag_boundary(labels, edges)
    lc = graph.show_rag(labels, g, edges_rgb, img_cmap=None, edge_cmap='viridis',
                        edge_width=1.2)

    plt.colorbar(lc, fraction=0.03)
    io.show()

**Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_segmentation_plot_rag_boundary.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: plot_rag_boundary.py <plot_rag_boundary.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: plot_rag_boundary.ipynb <plot_rag_boundary.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_
