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智能优化算法 神经网络预测 雷达通信 无线传感器
信号处理 图像处理 路径规划 元胞自动机 无人机 电力系统
⛄ 内容介绍
【图像分割】基于神经气体网络 (NGN)实现图像分割附matlab代码
⛄ 部分代码
% Image Segmentation and Quantization by Neural Gas Network (NGN)
% Define number of segments and iterations and get the output.
% Org is image. You can use your image.
% ParVal.N is Number of Segments
% ParVal.MaxIt is Number of runs
%----------------------------------------------------------------------
clc;
clear;
close all;
%% Load Image
Org=imread('124084.jpg');
X = rgb2gray(Org);
X=double(X);
img=X;
X=X(:)';
%% Neural Gas Network (NGN) Parameters
ParVal.N = 6; % Number of Segments
ParVal.MaxIt = 50; % Number of runs
ParVal.tmax = 100000;
ParVal.epsilon_initial = 0.3;
ParVal.epsilon_final = 0.02;
ParVal.lambda_initial = 2;
ParVal.lambda_final = 0.1;
ParVal.T_initial = 5;
ParVal.T_final = 10;
%% Training Neural Gas Network
NGNnetwok = GasNN(X, ParVal);
%% Vector to image and plot
Weight=sum(round(rescale(NGNnetwok.w,1,ParVal.N)));
Weight=round(rescale(Weight,1,ParVal.N));
indexed=reshape(Weight(1,:),size(img));
segmented = label2rgb(indexed);
% Plot Res
figure('units','normalized','outerposition',[0 0 1 1])
subplot(2,2,1)
imshow(Org,[]); title('Original');
subplot(2,2,2)
imshow(img,[]); title('Grey');
subplot(2,2,3)
imshow(segmented);
title(['Segmented in [' num2str(ParVal.N) '] Segments']);
subplot(2,2,4)
imshow(indexed,[]);
title(['Quantized in [' num2str(ParVal.N) '] Thresholds']);
⛄ 运行结果
⛄ 参考文献
[1]迪娜·加尔肯. 基于MATLAB的图像分割算法研究及实现[J]. 科学技术创新, 2021(26):3.
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