The following Matlab project contains the source code and Matlab examples used for automatic flow chart.   H = FUN_FLOWCHART(LOSSES,POUT) plot a flowchart diagram, useful for energie and power synthesis.

The following Matlab project contains the source code and Matlab examples used for solving karnaugh map problems. . Kmap is a small MATLAB GUI to solve Karnaugh Map problems in digital design.

The following Matlab project contains the source code and Matlab examples used for ternary plots. This zip files contains programs (five functions, one example program, and one sample data set) to plot data in ternary diagrams.

The following Matlab project contains the source code and Matlab examples used for taylor diagram. Plot a Taylor diagram from statistics values given by STDs (standard deviations), RMSs (centered root mean square difference) and CORs (correlation) Ref: K. Taylor Summarizing multiple aspects of model performance in a single diagram. JGR 2001

The following Matlab project contains the source code and Matlab examples used for clipped voronoi diagram. It's a modification of the initial function voronoi.

The following Matlab project contains the source code and Matlab examples used for circle bounded voronoi diagram. This function compute the individual Voronoi cell area of point sets bounded in a unit circle.

The following Matlab project contains the source code and Matlab examples used for arbitrary square bounded voronoi diagram. This function compute the individual Voronoi cell area of point sets bounded in an arbitrary square.

The following Matlab project contains the source code and Matlab examples used for plot 2- or 3- circle area-proportional venn diagram . VENN Plot 2- or 3- circle area-proportional Venn diagram VENN offers the following advantages over the VennX function available on the FEX: 1) It's much faster 2) Draws venn diagram as patch objects, allowing much greater flexibility in presentation (edge/face colors, transparency, etc.

The following Matlab project contains the source code and Matlab examples used for maximum inscribed circle using voronoi diagram. A sample application and a function for solving the maximum inscribed circle problem.

The following Matlab project contains the source code and Matlab examples used for constrain the vertices of a voronoi decomposition to the domain of the input data. . The routine performs a Voronoi decomposition of an input dataset and constrains the vertices to the domain of the data themselves, such that even unbounded Voronoi cells become useful polygons (See attached figure).

The following Matlab project contains the source code and Matlab examples used for shepard ternary plot. This function plots sand, silt and clay fraction data on a ternary plot that is marked with the Shepard classification scheme labels from his article: Shepard, F.

The following Matlab project contains the source code and Matlab examples used for convert voronoi cells to region mask. voronoi2mask computes a mask of the Voronoi cells given the points and the size of the image which the points are extracted from.

The following Matlab project contains the source code and Matlab examples used for first shell voronoi adjacency matrix. Implements the MATLAB voronoin function, extracting the Voronoi tesselation edge data to find shared edges indicating neigbouring nodes in the first Voronoi shell.

The following Matlab project contains the source code and Matlab examples used for voronoi diagram based image zoning. [voroimage,sub_image]=voronoizone(x,y,img) For a defined number of points on an image plane, voronoizone computes the voronoi diagram on the image space and divide the image into sub images according to the zones.

The following Matlab project contains the source code and Matlab examples used for power diagrams. A power diagram is a form of generalized Voronoi diagram, generated by a set of points and their corresponding weights.

The following Matlab project contains the source code and Matlab examples used for a fast image segmentation using delaunay triangulation. This function applies the Delaunay-based image segmentation, which is a fully automated process that does not require initial estimate of number of clusters.

The following Matlab project contains the source code and Matlab examples used for a fast image segmentation using delaunay triangulation (revisited). This is a tuned version of the old post on Delaunay-based image segmentation. http://www.mathworks.nl/matlabcentral/fileexchange/28330-a-fast-image-segmentation-using-delaunay-triangulation