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README: Version: april 2014.

The files contained here are part of the supplementary material to An automatic method for segmentation of fission tracks in epidote crystal photomicrographs.

Authors:

Description: this software applies algorithms to segment fission-tracks in crystal images by optical microscopy, based on starlets. Automatization of these algorithms is given using Matthews Correlation Coefficient (MCC). The difference between an image and its Ground Truth is given by a colored comparison.

How to: in Matlab/Octave prompt, type:

[D,L,COMP,MCC] = main(IMG, IMGGT);

Where IMG is the input image and IMGGT is its ground truth. This command asks the desired algorithm application level and returns starlet detail decomposition levels (D), algorithm output related to each starlet decomposition level (R), comparison between IMG and IMGGT for each starlet decomposition level (COMP) and Matthews Correlation Coefficient for IMG and IMGGT in each level (MCC).

Required files: main.m, binarize.m, confusionmatrix.m, mattewscc.m, starlet.m, twodimfilt.m, xtracttracks.m

Please cite:

de Siqueira, A. F., Nakasuga, W. M., Pagamisse, A., Sáenz, C. A. T. and Job, A. E., An automatic method for segmentation of fission tracks in epidote crystal photomicrographs. Computers and Geosciences, 2014, 69; 55-61. doi: 10.1016/j.cageo.2014.04.008

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An automatic method for segmentation of fission tracks in epidote crystal photomicrographs

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