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Aktualisiert 16. Jan 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 :)

Zitieren als

S. Muhammad Hossein Mousavi (2024). Cultural Algorithm Image Quantization (https://www.mathworks.com/matlabcentral/fileexchange/105280-cultural-algorithm-image-quantization), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019a
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Version Veröffentlicht Versionshinweise
1.0.1

Changing Summery.

1.0.0