~~NOTOC~~

====== News ======

The full release of LeafAnalyser is now available from the [[http://sourceforge.net/projects/leafanalyser/files/|downloads section]] at sourceforge. The [[http://sourceforge.net/projects/leafanalyser/files/latest|latest version]] is available as an installer for Windows or a source archive.

The source code is available from the [[http://sourceforge.net/scm/?type=svn&group_id=240388|subversion repository]] and is released under the [[http://www.gnu.org/licenses/gpl.html|GNU General Public Licence]].

The [[http://sourceforge.net/apps/phpbb/leafanalyser/|forums]] have been moved to sourceforge and there is now a hosted trac project for managing the [[http://sourceforge.net/apps/trac/leafanalyser/|development]] of LeafAnalyser. By registering with [[http://sourceforge.net/|sourceforge]] you should be able to gain access to both the forum and trac site. Please submit bug reports and feature requests using the trac [[http://sourceforge.net/apps/trac/leafanalyser/report|ticketing system]] and not the forum.

====== About LeafAnalyser ======

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{{ images:leaf_graph.png |Automated leaf margin detection and rendering of 3D graphs}}

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LeafAnalyser has been developed as a fast throughput leaf shape analysis application. It contains the following features:

  * Automated image processing
    * Gaussian blur
    * Thresholding
    * Object margin detection
    * Object centroid calculation
    * Leaf tip estimation
    * Object sorting
    * Landmark assignment
  * Data Analysis
    * Loading of data from text files
    * Assignment of data groups
    * Principal Components Analysis
  * Interactive Graphs
    * 3D graphs can be rotated and zoomed using the mouse
    * Graphs provide selection of which Principal Component axes are displayed plus customisation of various output styles
    * 2D and 3D graphs can display the following information:
      * Scatter graph of all leaf data (colour coded by group)
      * Ellipsoids represented the mean and standard deviations of each group
      * Alternatively ellipsoids can be used to represent each node of each group individually
      * Information can be scaled uniformly or independently
    * Variation graphs show the contribution of a single Principal Component to the object shape

===== Not just leaves! =====

Although this application has been specifically developed for analysing leaf shapes, it can be used to process anything that is reasonably two-dimensional, has a clear outline and can be scanned. There also needs to be a reliable point of reference (as in the leaf tip) at which the landmarks can begin.