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DOC: Update tasks list.
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@@ -17,9 +17,21 @@ following challenges you'd like to solve.
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Tasks
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-----
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:doc:`gsoc2011`
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.. :doc:`gsoc2011`
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.. :doc:`coverage_table`
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:doc:`coverage_table`
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Implement Algorithms
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````````````````````
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- Graph cut segmentation
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- Fast 2D convex hull (consider using CellProfiler version)
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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
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```````
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- Wu's algorithm for lines and circles
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- Text rendering
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Infrastructure
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--------------
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@@ -35,27 +47,25 @@ or tests.
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* :strike:`Connected components`
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* `Grey-level co-occurrence matrices <http://mentat.za.net/hg>`_
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* Marching squares
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* Nadav's bilateral filtering (first compare against CellProfile's code)
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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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* 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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* Canny filter (Canny, J., *A Computational Approach To Edge Detection*,
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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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* Prewitt filter - convolution with ``[[1,1,1], [0,0,0], [-1,-1,-1]]`` to
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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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* Bilateral filter
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(http://groups.csail.mit.edu/graphics/bilagrid/bilagrid_web.pdf)
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- edge detection using both spatial and intensity information
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* Convex hulls of objects in a labels matrix
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* Minimum enclosing circles of objects in a labels matrix
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* Map-coloring of a labels matrix - assign each label a color so that
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all adjacent labels have different colors
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* Skeletonize, spur removal, thinning, thickening, and other morphological
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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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* Skeletonize objects in a labels matrix
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@@ -92,7 +102,7 @@ who contributed.
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Rework linear filters
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`````````````````````
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* Fast, SSE2 convolution (high priority)
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* Fast, SSE2 convolution (high priority) (see prototype in pull requests)
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* Should take kernel or function for parameter (currently only takes function)
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* Kernel shape should be specifiable (currently defaults to image shape)
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* Due to the above, the tests run unnecessarily slowly
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@@ -101,7 +111,6 @@ io
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``
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* Update ``qt_plugin.py`` and other plugins to view collections.
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* Rewrite GTK backend using GObject Introspection for Py3K compatibility.
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* Add medical / biological and GIS image format plugins.
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* Add DICOM plugin for `GDCM <http://sourceforge.net/apps/mediawiki/gdcm>`__.
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docs
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@@ -114,15 +123,3 @@ docs
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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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Implement Algorithms
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````````````````````
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- Histograms of oriented gradients
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- Fast radon transform
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- Graph cut segmentation
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- Probabilistic Hough transform
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Drawing
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```````
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- Wu's algorithm for lines and circles
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