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gala: segmentation of nD images

Gala is a python library for performing and evaluating image segmentation, distributed under the open-source, BSD-like Janelia Farm license. It implements the algorithm described in Nunez-Iglesias et al., PLOS ONE, 2013.

If you use this library in your research, please cite:

Nunez-Iglesias J, Kennedy R, Plaza SM, Chakraborty A and Katz WT (2014) Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages. Front. Neuroinform. 8:34. doi:10.3389/fninf.2014.00034

If you use or compare to the GALA algorithm in your research, please cite:

Nunez-Iglesias J, Kennedy R, Parag T, Shi J, Chklovskii DB (2013) Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images. PLoS ONE 8(8): e71715. doi:10.1371/journal.pone.0071715

Gala supports n-dimensional images (images, volumes, videos, videos of volumes...) and multiple channels per image.

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