%%************************************************************************
%% Bio-Inspired Fossil Image Segmentation for Paleontology
%% Developed by Seyed Muhammad Hossein Mousavi between Jan to July of 2022.
% This code could be used as a tool for paleontologist.
% This is demo version of:
%------------------------------------------------------------------------
%% Mousavi, S. M. H. (2022). Bio-Inspired Fossil Image Segmentation for
%% Paleontology. International Journal of Mechatronics, Electrical and
%% Computer Technology (IJMEC), 12(45), 5243-5249.
%------------------------------------------------------------------------
% So, please cite after use.
% Paper link:
% https://www.aeuso.org/includes/files/articles/Vol12_Iss45_5243-5249_Bio-Inspired_Fossil_Image_Segmentat.pdf
%% The code is consisted of following steps:
% 1.Evolution Strategy (ES) Histogram Equalization
% Histogram equalization is a method in image processing of
% contrast adjustment using the image's histogram
% 2.Cultural Algorithm (CA) Image Quantization
% Quantization, involved in image processing, is a lossy compression technique
% achieved by compressing a range of values to a single quantum value.
% When the number of discrete symbols in a given stream is reduced, the
% stream becomes more compressible.
% 3.Simulated Annealing (SA) Edge Detection
% Edge detection is used to identify points
% in a digital image with discontinuities, simply to say, sharp changes in
% the image brightness.
% 4.Particle Swarm Optimization (PSO) Image Segmentation
% Image segmentation is the process of partitioning a digital image into
% multiple image segments, also known as image regions or image objects
% 5.Final Overlay
% F-Score performance metric evaluates the system VS ground truth
% Hope this code could help you. Let's dive in =>
%%======================================================================
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