Short Description
Choose the best auto thresholding technique for your data. Ported from Auto Threshold plugin in ImageJ by G. Landini (plus others, see documentation).
Source code: https://gitlab.pasteur.fr/bia/best-threshold
Documentation
Original Plugin
This original plugin was developed for ImageJ as Auto Threshold, its author is Gabriel Landini.
Link to the plugin page: click here.
Methods
Huang
- Huang, L-K & Wang, M-J J (1995), “Image thresholding by minimizing the measure of fuzziness“, Pattern Recognition 28(1): 41-51
Reimplemented in ImageJ by Johannes Schindelin.
Otsu
- Otsu, N (1979), “A threshold selection method from gray-level histograms“, IEEE Trans. Sys., Man., Cyber. 9: 62-66, doi:10.1109/TSMC.1979.4310076
C++ code by Jordan Bevik / Ported to ImageJ by G. Landini
Li
- Li, CH & Lee, CK (1993), “Minimum Cross Entropy Thresholding”, Pattern Recognition 26(4): 617-625
- Li, CH & Tam, PKS (1998), “An Iterative Algorithm for Minimum Cross Entropy Thresholding”, Pattern Recognition Letters 18(8): 771-776
- Sezgin, M & Sankur, B (2004), “Survey over Image Thresholding Techniques and Quantitative Performance Evaluation“,Journal of Electronic Imaging 13(1): 146-165
Ported to ImageJ plugin by G.Landini
Percentile
- Doyle, W (1962), “Operation useful for similarity-invariant pattern recognition“, Journal of the Association for Computing Machinery 9: 259-267, doi:10.1145/321119.321123
Ported to ImageJ plugin by G.Landini
Shanbhag
Coming soon…
Triangle
Coming soon…
Yen
Coming soon…
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