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资源说明：Tomography reconstruction based on belief propagation algorithm
Belief-propagation for binary tomography reconstruction ======================================================= This Python code implements belief-propagation iterations for solving the tomography reconstruction problem for binary images with a spatial regularization. Download -------- A zipball of the source code is available on https://github.com/eddam/bp-for-tomo/zipball/demo If you wish to download the whole versioned project, you can clone it with git (http://git-scm.com/): $ git clone https://github.com/eddam/bp-for-tomo.git Dependencies ------------ to use this code, you will need the Python language, together with several Python modules * python >=2.6 * numpy >= 1.4 * scipy * a C compiler * optional: matplotlib (to plot the demo results) and scikit-image (for utility functions to preprocess real data). All these packages are included in the usual Scientific Python distribution, such as Anaconda http://continuum.io/downloads or Enthought Python Distribution https://www.enthought.com/products/epd/. Install ------- Go to the bptomo directory $ cd bptomo And execute one of the following commands: If you wish to use the code inside the source directory: $ python setup.py build_ext --inplace (this will build the compiled parts of the code, using cython). Or you can install the package in order to import it from anywhere in the system: $ python setup.py install --user Demo ---- run the script $ python demo_bp_flavors.py (or, better, run the script inside the Ipython interpreter)
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