【第 02 章 基于形态学的权重自适应图像去噪技术-全套系统MATLAB智能驾驶深度学习】

第 02 章 基于形态学的权重自适应图像去噪技术-全套系统–源文件

MATLAB智能驾驶深度学习

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本文从形态学的权重自适应图像去噪技术展开讨论。
以终为始，先看效果。




通过四种串联方式，展开细化的分享。
对于主函数，有
main.m

clc; clear all; close all;
filename = fullfile(pwd, 'images/im.jpg');
Img = imread(filename);
if ndims(Img) == 3
    I = rgb2gray(Img);
else
    I = Img;
end
Ig = imnoise(I,'poisson');
s = GetStrelList();
e = ErodeList(Ig, s);
f = GetRateList(Ig, e);
Igo = GetRemoveResult(f, e);
figure;
subplot(1, 2, 1); imshow(I, []); title('原图像');
subplot(1, 2, 2); imshow(Ig, []); title('噪声图像');
figure;
subplot(2, 2, 1); imshow(e.eroded_co12, []); title('串联1处理结果');
subplot(2, 2, 2); imshow(e.eroded_co22, []); title('串联2处理结果');
subplot(2, 2, 3); imshow(e.eroded_co32, []); title('串联3处理结果');
subplot(2, 2, 4); imshow(e.eroded_co42, []); title('串联4处理结果');
figure;
subplot(1, 2, 1); imshow(Ig, []); title('噪声图像');
subplot(1, 2, 2); imshow(Igo, []); title('并联去噪图像');
psnr1 = PSNR(I, e.eroded_co12);
psnr2 = PSNR(I, e.eroded_co22);
psnr3 = PSNR(I, e.eroded_co32);
psnr4 = PSNR(I, e.eroded_co42);
psnr5 = PSNR(I, Igo);
psnr_list = [psnr1 psnr2 psnr3 psnr4 psnr5];
figure; 
plot(1:5, psnr_list, 'r+-');
axis([0 6 18 24]);
set(gca, 'XTick', 0:6, 'XTickLabel', {'', '串联1', '串联2', '串联3', ...
    '串联4', '并联', ''});
grid on;
title('PSNR曲线比较');

中间处理过程函数
GetRateList.m

function f = GetRateList(Ig, e)

f.df1 = sum(sum(abs(double(e.eroded_co12)-double(Ig))));
f.df2 = sum(sum(abs(double(e.eroded_co22)-double(Ig))));
f.df3 = sum(sum(abs(double(e.eroded_co32)-double(Ig))));
f.df4 = sum(sum(abs(double(e.eroded_co42)-double(Ig))));
f.df = sum([f.df1 f.df2 f.df3 f.df4]);

GetStrelList.m

function s = GetStrelList()

s.co11 = strel('line',5,-45);
s.co12 = strel('line',7,-45);
s.co21 = strel('line',5,45);
s.co22 = strel('line',7,45);
s.co31 = strel('line',3,90);
s.co32 = strel('line',5,90);
s.co41 = strel('line',3,0);
s.co42 = strel('line',5,0);

matlab函数浏览器–查找

函数–imerode调参函数帮助文档

ErodeList.m

function e = ErodeList(Ig, s)

e.eroded_co11 = imerode(Ig,s.co11);
e.eroded_co12 = imerode(e.eroded_co11,s.co12);
e.eroded_co21 = imerode(Ig,s.co21);
e.eroded_co22 = imerode(e.eroded_co21,s.co22);
e.eroded_co31 = imerode(Ig,s.co31);
e.eroded_co32 = imerode(e.eroded_co31,s.co32);
e.eroded_co41 = imerode(Ig,s.co41);
e.eroded_co42 = imerode(e.eroded_co41,s.co42);

案例应用对比：

PSNR曲线函数
PSNR.m

function S = PSNR(s,t)

[m, n, ~]=size(s);
s = im2uint8(mat2gray(s));
t = im2uint8(mat2gray(t));
s = double(s);
t = double(t);
sd = 0;
mi = m*n*max(max(s.^2));
for u = 1:m
    for v = 1:n
        sd = sd+(s(u,v)-t(u,v))^2;
    end
end
if sd == 0
    sd = 1;
end
S = mi/sd;
S = 10*log10(S);

运行主流程文件
main.m
全套源码下载–>传送门