advanced_image_processing: Added doctest for region_properties. This further addresses #102.
advanced_image_processing: Renamed the function region_properties to region_properties_scikit_image to specify what library it is using. Added a new version of the function region_properties, which currently simply calls region_properties_scikit_image.
advanced_image_processing: Added the function region_properties_vigra to supply an interface to vigra that will format the results in the same way as region_properties_scikit_image.
advanced_image_processing: Changed region_properties to call region_properties_vigra instead of region_properties_scikit_image.
HDF5_recorder: PATCH ( e0c8e8a0704f11703b8c70306faaa68c3aec3987 ): HDF5_recorder: Created the ArrayRecorder, HDF5EnumeratedArrayRecorder, this uses an enumeration system to allow storing separate results with the same sort of name. Also, added code to HDF5EnumeratedArrayRecorder to set an attribute for each group key to specify whether it is a logger or data. Allows persistence across different Python sessions or different logger instances.
advanced_image_processing: Changed generate_local_maxima_vigra so that it will used vigra.analysis.extendedLocalMaxima3D if the data is 3D and will resort to vigra.analysis.extendedLocalMaxima if the data is 2D. If the dimensionality is neither, it will fail an assertion.
HDF5_serializers: PATCH ( 0f63c40771b71c28521565ff6765c7340fab6259 ): Added check in create_numpy_structured_array_in_HDF5 to ensure the given data is either of type numpy.ndarray or convertible to it.
HDF5_serializers: PATCH 2 ( 0f63c40771b71c28521565ff6765c7340fab6259 ): Added check in create_numpy_structured_array_in_HDF5 to ensure the given data is either of type numpy.ndarray or convertible to it.