Image 我想为图像更正此代码，需要做什么更改。。？

目前我正在重新编码一张脸，这意味着我必须找到一张我们必须测试的脸是否在训练数据库中。。！所以，我必须决定是还是不是

是表示查找图像，否表示打印数据库中没有图像的消息。我有一个程序，目前这个程序正在正确地查找正确的图像，但即使没有图像，也会显示其他不匹配的图像。。实际上，它不应该打印数据库中的任何图像

那么，怎么办

这里是一个关于这个链接的测试和训练图像数据

我的程序是用不同的四个.m文件编写的，在这里，我们只需要运行第一个代码。。剩下的3个是函数，这里也给出了**

 clear all

 clc

 close all

TrainDatabasePath = uigetdir('D:\Program Files\MATLAB\R2006a\work', 'Select training database path' );

TestDatabasePath = uigetdir('D:\Program Files\MATLAB\R2006a\work', 'Select test database path');

prompt = {'Enter test image name (a number between 1 to 10):'};

dlg_title = 'Input of PCA-Based Face Recognition System';

num_lines= 1;

def = {'1'};

TestImage = inputdlg(prompt,dlg_title,num_lines,def);

TestImage = strcat(TestDatabasePath,'\',char(TestImage),'.jpg');

im = imread(TestImage);

T = CreateDatabase(TrainDatabasePath);

[m, A, Eigenfaces] = EigenfaceCore(T);

OutputName = Recognition(TestImage, m, A, Eigenfaces);

SelectedImage = strcat(TrainDatabasePath,'\',OutputName);

SelectedImage = imread(SelectedImage);

imshow(im)

title('Test Image');

figure,imshow(SelectedImage);

title('Equivalent Image');

str = strcat('Matched image is : ',OutputName);

disp(str)

function T = CreateDatabase(TrainDatabasePath)

TrainFiles = dir(TrainDatabasePath);

Train_Number = 0;

for i = 1:size(TrainFiles,1)

if

not(strcmp(TrainFiles(i).name,'.')|strcmp(TrainFiles(i).name,'..')|strcmp(TrainFiles(i).name,'Thu mbs.db'))

Train_Number = Train_Number + 1; % Number of all images in the training database

end

end

T = [];

for i = 1 : Train_Number

    str = int2str(i);
    str = strcat('\',str,'.jpg');
    str = strcat(TrainDatabasePath,str);
    img = imread(str);
    img = rgb2gray(img);
    [irow icol] = size(img);
    temp = reshape(img',irow*icol,1);   % Reshaping 2D images into 1D image vectors
    T = [T temp]; % 'T' grows after each turn                    
end

function [m, A, Eigenfaces] = EigenfaceCore(T)

m = mean(T,2); % Computing the average face image m = (1/P)*sum(Tj's) (j = 1 : P)

Train_Number = size(T,2);

A = [];

for i = 1 : Train_Number

    temp = double(T(:,i)) - m; 

 Ai = Ti - m

    A = [A temp]; % Merging all centered images

end

L = A'*A; % L is the surrogate of covariance matrix C=A*A'.

[V D] = eig(L); % Diagonal elements of D are the eigenvalues for both L=A'*A and C=A*A'.

L_eig_vec = [];

for i = 1 : size(V,2)

    if( D(i,i)>1 )
        L_eig_vec = [L_eig_vec V(:,i)];
    end
end

Eigenfaces = A * L_eig_vec; % A: centered image vectors

function OutputName = Recognition(TestImage, m, A, Eigenfaces)

ProjectedImages = [];

Train_Number = size(Eigenfaces,2);

for i = 1 : Train_Number

    temp = Eigenfaces'*A(:,i); % Projection of centered images into facespace
    ProjectedImages = [ProjectedImages temp]; 
end

InputImage = imread(TestImage);

temp = InputImage(:,:,1);

[irow icol] = size(temp);

InImage = reshape(temp',irow*icol,1);

Difference = double(InImage)-m; % Centered test image

ProjectedTestImage = Eigenfaces'*Difference; % Test image feature vector

Euc_dist = [];

for i = 1 : Train_Number

    q = ProjectedImages(:,i);
    temp = ( norm( ProjectedTestImage - q ) )^2;
    Euc_dist = [Euc_dist temp];
end

[Euc_dist_min , Recognized_index] = min(Euc_dist);

OutputName = strcat(int2str(Recognized_index),'.jpg');

---

那么，当没有图像匹配时，如何生成错误质量？

目前，您的应用程序似乎找到了最相似的图像（在度量相似性时，您似乎使用了欧几里德距离），并返回它。对于图像是否“匹配”，似乎没有任何概念

定义相似性阈值，然后确定最相似的图像是否符合该阈值。如果返回，则返回，否则显示错误消息