Updated 16 Jan 2022

View License

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 :)

Cite As

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

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes

Changing Summery.