ent(varargin)
Built for 'highest possible' speed. Can handle any number of dimensions, given sufficient memory.
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Uses notsum written here: https://www.mathworks.com/matlabcentral/fileexchange/66242-notsum-a-dim-
This uses no for loops for its computations - only index manipulation. For loops are only employed to accommodate for multiple images, but there is only one iteration per image (as opposed to per pixel per image). Built for highest possible speed.
There is no error checking, but if there were it would be to check that all input images are of the same dimensions and all images have real, non-decimal pixel values ranging from 0 - 255.
Cita come
ja (2026). ent(varargin) (https://it.mathworks.com/matlabcentral/fileexchange/41714-ent-varargin), MATLAB Central File Exchange. Recuperato .
Informazioni generali
- Versione 2.0.0.0 (2,06 KB)
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 2.0.0.0 | Cleaned some comments.
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| 1.9.0.0 | Now computes joint metrics for a variable number of input images.
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| 1.8.0.0 | fixed a silly mistake that needlessly increased the MI calculation time by about 10% |
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| 1.7.0.0 | condensed the comments in the code to only what is necessary to modify the function.. |
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| 1.6.0.0 | Now also returns mutual information. |
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| 1.4.0.0 | updated description
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| 1.3.0.0 | Now returns joint histogram and joint entropy by default (can be changed easily by user).
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| 1.0.0.0 |
