【图像分割】基于神经气体网络 (NGN)实现图像分割附matlab代码

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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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