将哈里斯特征点与保存的图像进行比较

Question

我有一个使用Harris角落检测器绘制的特征点保存的图像（.fig），然后我想在第二张图像上映射特征点，然后将它们与保存的图像进行比较显示匹配的功能点。我想为如何解决这个帮助。

映射"模板"图像的代码：

I1 = rgb2gray(imread('/home/colin/downloads/matlabImages/template.jpg'));
points1 = detectHarrisFeatures(I1);
imshow(I1); hold on;
plot(points1);

绘制时刚刚使用"文件 -> saveas"选项保存了此图像。

然后，我正在尝试运行一个单独的脚本来绘制新图像上的功能并比较它们，这是我遇到问题的地方。

比较脚本：

I1 = hgload('/home/colin/tmp/untitled.fig');
I2 = rgb2gray(imread('/home/colin/downloads/matlabImages/small.jpg'));
points2 = detectHarrisFeatures(I2);
[features2, valid_points2] = extractFeatures(I2, points2);
indexPairs = matchFeatures(I1, features2);
matched_points2 = valid_points2(indexPairs(:, 2), :);
figure; showMatchedFeatures(I1, I2, matched_points2);

您可以想象我会遇到一系列错误：

Error using coder.internal.errorIf (line 9)
Expected FEATURES1 and FEATURES2 to be the same class.
Error in matchFeatures>assignFeaturesAndMetric (line 356)
coder.internal.errorIf(~isequal(class(f1), class(f2)),...
Error in matchFeatures>parseInputs (line 343)
[features1, features2, metric] = assignFeaturesAndMetric(f1, f2, metric);
Error in matchFeatures (line 196)
    [features1, features2, metric, match_thresh, method, maxRatioThreshold, ...
Error in comparePoints (line 6)
indexPairs = matchFeatures(I1, features2);

Answer 1

您没有保存正确的信息。保存 .fig 时，您只保存图。

您需要保存I1和points1：

I1 = rgb2gray(imread('/home/colin/downloads/matlabImages/template.jpg'));
points1 = detectHarrisFeatures(I1);
save('im1.mat', 'I1','points1');

现在您可以使用信息：

load('im1.mat');%This loads I1 and points1
I2 = rgb2gray(imread('/home/colin/downloads/matlabImages/small.jpg'));
points2 = detectHarrisFeatures(I2);
[features2, valid_points2] = extractFeatures(I2, points2);
[features1, valid_points1] = extractFeatures(I1, points1);
indexPairs = matchFeatures(features1, features2);

> Optional ，您可以在第一步中计算features1变量并保存（而不是使用I1和points1）：

I1 = rgb2gray(imread('/home/colin/downloads/matlabImages/template.jpg'));
points1 = detectHarrisFeatures(I1);
[features1, valid_points1] = extractFeatures(I1, points1);
save('im1.mat', 'features1');
load('im1.mat');%This loads features1
I2 = rgb2gray(imread('/home/colin/downloads/matlabImages/small.jpg'));
points2 = detectHarrisFeatures(I2);
[features2, valid_points2] = extractFeatures(I2, points2);
indexPairs = matchFeatures(features1, features2);