Question

因此，基本上，我正在尝试将彼此重叠的两个图像组合在一起。我已使用注册估算器应用程序进行检查，并且它们具有匹配的功能。目前，我的程序选择了匹配的功能并将其显示，其他图像则显示在背景中。我想做的是能够复制注册估算器应用程序的工作，并在功能相交的地方合并两个图像。

我看了一个全景示例，但无论出于何种原因，它似乎都不起作用。

clear all;
close all;
I1 = rgb2gray(imread('q2.jpg'));
I2 = rgb2gray(imread('q20.jpg'));

points1 = detectSURFFeatures(I1);
points2 = detectSURFFeatures(I2);

[f1, vpts1] = extractFeatures(I1, points1);
[f2, vpts2] = extractFeatures(I2, points2);

indexPairs = matchFeatures(f1, f2) ;
matchedPoints1 = vpts1(indexPairs(:, 1));
matchedPoints2 = vpts2(indexPairs(:, 2));

figure; ax = axes;
showMatchedFeatures(I1,I2,matchedPoints1,matchedPoints2,'Parent',ax);
title(ax, 'Putative point matches');
legend(ax,'Matched points 1','Matched points 2');

% Create new Image ... 
% joinedImg = Combined image where matched points overlap

所以基本上我需要做的是能够创建一个新图像并将其写入，这是两个图像的组合图像。有点像全景，但不是因为它们恰好在点相交并重叠的地方

Answer 1

我认为您从MATLAB文档中选择了错误的示例。

您可以使用estimateGeometricTransform示例。

以下代码为您提供了转换tform：

[tform,inlierPtsDistorted,inlierPtsOriginal] = ...
    estimateGeometricTransform(matchedPtsDistorted,matchedPtsOriginal,...
    'similarity');

变形代码为：Ir = imwarp(distorted,tform,'OutputView',outputView);

要融合图像，可以使用imfuse功能。

以下代码将estimateGeometricTransform示例与imfuse示例结合在一起：

%https://www.mathworks.com/help/vision/ref/estimategeometrictransform.html
original  = imread('cameraman.tif');
%imshow(original);
%title('Base image');
distorted = imresize(original,0.7); 
distorted = imrotate(distorted,31);
%figure; imshow(distorted);
%title('Transformed image');
ptsOriginal  = detectSURFFeatures(original);
ptsDistorted = detectSURFFeatures(distorted);
[featuresOriginal,validPtsOriginal] = extractFeatures(original,ptsOriginal);
[featuresDistorted,validPtsDistorted] = extractFeatures(distorted,ptsDistorted);
index_pairs = matchFeatures(featuresOriginal,featuresDistorted);
matchedPtsOriginal  = validPtsOriginal(index_pairs(:,1));
matchedPtsDistorted = validPtsDistorted(index_pairs(:,2));
%figure; 
%showMatchedFeatures(original,distorted, matchedPtsOriginal,matchedPtsDistorted);7
%title('Matched SURF points,including outliers');
[tform,inlierPtsDistorted,inlierPtsOriginal] = estimateGeometricTransform(matchedPtsDistorted,matchedPtsOriginal, 'similarity');
%figure; 
%showMatchedFeatures(original,distorted, inlierPtsOriginal,inlierPtsDistorted);
%title('Matched inlier points');
outputView = imref2d(size(original));
Ir = imwarp(distorted,tform,'OutputView',outputView);
%figure; imshow(Ir); 
%title('Recovered image');

%https://www.mathworks.com/help/images/ref/imfuse.html
C = imfuse(original, Ir, 'falsecolor', 'Scaling', 'joint', 'ColorChannels', [1 2 0]);
figure; imshow(C); 
title('fuse image');

%Write result image to file.
imwrite(C, 'fused.png');

如果附加输入图像'q2.jpg'和'q20.jpg'可能会有所帮助。

结合具有匹配功能的两个图像

1 个答案: