Mentions légales du service

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Commit 35205b5f authored by FEDORCHUK Maksym's avatar FEDORCHUK Maksym
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Add readme.md

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The Main.m is a program which compute traditional evaluation metrics and statistically-based metrics for classifiers selection.
For correct work - indicate all of folders and subfolders in path!
The program performs next stages (in the loop - for every input image):
1 - open the test image from graphics file;
2 - apply 10 binarization algorithms for every image;
3 - Calculate and print the table with applied traditional metrics for
binarization algorithms, according to Ground Truth;
4 - Calculate and print the table with applied statistically-based
metrics for binarization algorithms (without Ground Truth);
5 - Calculate the order of classifiers from best to worsed by using
Reference Method;
And, in the end:
6 - Calculate how good not-traditionally used evaluation systems
(Pseudo-metrics and proposed Reference method ) are good by
calculating (average values through dataset):
- Average sequence alignment cost between the order of classifiers
- Average word-edit distance between the order of classifiers
- Average correlation of algorithm`s order between the order given by
F-Measure and statistically-based approaches
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