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Actualizado 16 ene 2022

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Cultural Algorithm Image Quantization - Created in 16 Jan 2022 by Seyed Muhammad Hossein Mousavi % This code, takes a input image and applies Otsu’s thresholding method % based on user's threshold levels on % image for quantization. Then the achieved vector from previews step sends % to Cultural Algorithm cycle to be fitted even better. You can change % parameters and input image as you desired. % ------------------------------------------------ % Feel free to contact me if you find any problem using the code: % Author: SeyedMuhammadHosseinMousavi % My Email: mosavi.a.i.buali@gmail.com % My Google Scholar: https://scholar.google.com/citations?user=PtvQvAQAAAAJ&hl=en % My GitHub: https://github.com/SeyedMuhammadHosseinMousavi?tab=repositories % My ORCID: https://orcid.org/0000-0001-6906-2152 % My Scopus: https://www.scopus.com/authid/detail.uri?authorId=57193122985 % My MathWorks: https://www.mathworks.com/matlabcentral/profile/authors/9763916# % my RG: https://www.researchgate.net/profile/Seyed-Mousavi-17 % ------------------------------------------------ % Hope it help you, enjoy the code and wish me luck :)

Citar como

S. Muhammad Hossein Mousavi (2026). Cultural Algorithm Image Quantization (https://es.mathworks.com/matlabcentral/fileexchange/105280-cultural-algorithm-image-quantization), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Versión Publicado Notas de la versión
1.0.1

Changing Summery.

1.0.0