%% README.TXT %% %% Version: april 2014. %% %% This file is part of the supplementary material to 'An automatic %% method for segmentation of fission tracks in epidote crystal %% photomicrographs'. %% %% Authors: %% Alexandre Fioravante de Siqueira, [email protected] %% Wagner Massayuki Nakasuga, [email protected] %% Aylton Pagamisse, [email protected] %% Carlos Alberto Tello Saenz, [email protected] %% Aldo Eloizo Job, [email protected] %% %% 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: %% %% Alexandre Fioravante de Siqueira, Wagner Massayuki Nakasuga, Aylton %% Pagamisse, Carlos Alberto Tello Saenz and Aldo Eloizo Job. An automatic %% method for segmentation of fission tracks in epidote crystal %% photomicrographs. 2014. %%
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An automatic method for segmentation of fission tracks in epidote crystal photomicrographs