创建HoG特征矩阵、数组

Question

我想使用 HoG 从一组 if (16) 图像中提取特征。我已经完成了一张图片，它返回了一个很好的结果。现在我想为所有其他图像做，并存储特征。 . 请问如何创建矩阵/数组来存储分类特征。 我所有的图像都在一个文件夹中... 到目前为止，这是我的代码，请帮助：

%% Load Images
imgFolder =   fullfile('C:\Users\Engineering\Desktop\Finn\NEW');
 imgSet = imageSet(imgFolder);

 %% Display Montage of First Note
 figure;
 montage(imgSet(1).ImageLocation);
 title('Images of Single Note');

 %%  Display Query Image and Database Side-Side
 galleryImage = read(imgSet,1);
 figure;
 for i=1:size(imgSet,2)
imageList = imgSet(i).ImageLocation;
 end

         subplot(1,2,1);imshow(galleryImage);
 subplot(1,2,2);montage(imageList);
 diff = zeros(1,9);

 %% Split Database into Training & Test Sets
 [training,test] = partition(imgSet,[0.8 0.2]);

 %% Extract and display Histogram of Oriented Gradient Features for single Note 
 [hogFeature, visualization]= ...
     extractHOGFeatures(read(training,1));
 figure;
  subplot(2,1,1);imshow(read(training,1));title('Input Note');
 subplot(2,1,2);plot(visualization);title('HoG Feature');

 %% Extract HOG Features for training set

 I need help in this section, please. Thank you

Answer 1

如果我正确理解了这个问题。您希望拥有一个包含所有图像的 Hog 特征的多维数组。如果是这样的话，这里有一个简单的解决方案

 accum = [];
 for i = 1:training.Count
     [hogFeature, visualization]= ...
         extractHOGFeatures(read(training,i));
     accum = [accum;hogFeature];
 end

现在，accum 矩阵的每一行都是对应图像的一组 Hog 特征。第n张图片的Hog Features可以通过features = accum(n,:);访问。