Lei He

clear;clc;
load 'F:\2020.0902\wine.mat';%加载数据
%归一化
wine_l = wine(:,1:12);
[wine_l ,pstrain] = mapminmax(wine_l');
pstrain.ymin = 0;
pstrain.ymax = 1;
[wine_l ,pstrain] = mapminmax(wine_l ,pstrain);
wine_ll = wine_l';
wine =[wine_ll(:,:),wine(:,13)];
%
D=wine(:,1:size(wine,2)-1);%排除编号的一列
global I;
I = wine;
m=80; %抽样次数
k=8; %k近邻
N=20; %运行次数

for i=1:N
    W(i,:)=RelifF(D,m,k);
end

for i=1:N %将每次计算的权重进行绘图
    plot(1:size(W,2),W(i,:));%size(A,1)获取A矩阵行数，size(A,2)获取A矩阵列数
    hold on
end
for i=1:size(W,2) %计算N次中，每个属性的平均值
    result(1,i)=sum(W(:,i))/size(W,1);
end

clear all,clc;
gray = imread('circuit.tif');
offsets = [0 1;-1 1;-1 0;-1 -1];
[glcm,SI] = graycomatrix(gray,'GrayLimits',[],'NumLevels',16,'Of',offsets);
subplot(1,3,1),imshow(gray);
subplot(1,3,2),imhist(gray);
%-----------------------------------------------------------
% 查看灰度级压缩之后的图像
%-----------------------------------------------------------
subplot(1,3,3),imshow(SI,[0,15]);
%使用imshow()显示不同灰度级时，要使用imshow(SI,[low,high])格式，否则无法正确显示图片内容。
%对于uint8类型图像默认显示范围取【0,255】，对于double类型图像默认显示范围【0,1】
%-----------------------------------------------------------
% 求出四个方向上的灰度共生矩阵特征参量
%-----------------------------------------------------------
stats = graycoprops(glcm,{'contrast','homogeneity','Energy','Correlation'});