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DOC: Remove completed tasks.
It's a bit distracting to leave the completed tasks in the docs. I left some tasks that are marked completed: Either I couldn't find where they were implemented, or it has not been merged.
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@@ -42,9 +42,6 @@ Implement Algorithms
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- Convex hulls of objects in a labels matrix (simply adapt current convex hull
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image code--this one's low hanging fruit). Generalise this solution to also
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skeletonize objects in a labels matrix.
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- :strike:`Histograms of oriented gradients`
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- :strike:`Fast radon transform`
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- :strike:`Probabilistic Hough transform`
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Drawing (directly on an ndarray)
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````````````````````````````````
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@@ -63,29 +60,22 @@ modified to work as part of the scikit, others may be lacking in documentation
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or tests.
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* :strike:`Connected components`
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* :strike:`Grey-level co-occurrence matrices`
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* :strike:`Marching squares`
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* Nadav's bilateral filtering (first compare against CellProfiler's
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code, based on http://groups.csail.mit.edu/graphics/bilagrid/bilagrid_web.pdf)
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Also see https://github.com/stefanv/scikits-image/tree/bilateral
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* :strike:`2D iso-contour finding (sub-pixel precision) [ask Zach Pincus]`
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* 2D image warping via thin-plate splines [ask Zach Pincus]
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Merge code provided by `CellProfiler <http://www.cellprofiler.org>`_ team
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`````````````````````````````````````````````````````````````````````````
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* :strike:`Canny filter` (Canny, J., *A Computational Approach To Edge Detection*,
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IEEE Trans. Pattern Analysis and Machine Intelligence, 8:679-714, 1986)
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* :strike:`Prewitt filter` - convolution with ``[[1,1,1], [0,0,0], [-1,-1,-1]]`` to
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detect edges
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* :strike:`Sobel filter - convolution with` ``[[1,2,1], [0,0,0], [-1,-2,-1]]`` :strike:`to detect edges`
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* Roberts filter - convolution with diagonal and anti-diagonal
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kernels to detect edges
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* Minimum enclosing circles of objects in a labels matrix
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* :strike:`Map-coloring of a labels matrix - assign each label a color so that
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all adjacent labels have different colors` -- simply plot with colormap "spectral".
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* :strike:`Skeletonize`, spur removal, thinning, thickening, and other morphological
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operations on binary images, framework for creating arbitrary morphological
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operations using a 3x3 grid.
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all adjacent labels have different colors` -- simply plot with colormap
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"spectral".
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* spur removal, thinning, thickening, and other morphological operations on
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binary images, framework for creating arbitrary morphological operations
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using a 3x3 grid.
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Their SVN repository is read-accessible at
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@@ -134,6 +124,4 @@ docs
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* Add examples to the gallery
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* Write topics for the `user guide
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<http://scikits-image.org/docs/dev/user_guide.html>`_
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* :strike:`Build docs outside source directory`
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* Integrate BiBTeX plugin into Sphinx build
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* :strike:`Create a kick-ass website`
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