How to classify image data using SVM

Question

Petrus van Aswegen 2021-5-10

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/826125-how-to-classify-image-data-using-svm

回答： Akanksha Shrimal 2022-4-27

I am having an issue with using the fitcsvm() function to classify my data. I have used the following code to load my 190 RGB images and their respective groundtruths, divide the these images into 4x4 patches and then read and store the colour information in each patch.

bh = 4; %dimensions of the blocks
bw = 4;
%obtain the folder and the files within them note that any name with "g" is
%groundtruth specific
folname = 'C:\Users\Petru\Documents\Uni\Yr4Sem1\Thesis\Images';
folnameg = 'C:\Users\Petru\Documents\Uni\Yr4Sem1\Thesis\Groundtruth';
fils = dir(fullfile(folname,'*.png'));
filsg = dir(fullfile(folnameg,'*.png'));
%Read the images in from the directory created above
Io = imread(fullfile(fils(1).folder,fils(1).name));
Ig = imread(fullfile(filsg(1).folder,filsg(1).name));
%obtain some metadata from the first image into a table
N1 = bh*ones(floor(size(Io,1)/bh),1);
N1g = bh*ones(floor(size(Ig,1)/bh),1);
N2 = bw*ones(floor(size(Io,2)/bw),1);
N2g = bw*ones(floor(size(Ig,2)/bw),1);
%Loop through both directories at the same time and store information in
%tables L and Lg
L = cell(numel(fils),1);
Lg = cell(numel(filsg),1);
for ii = 1:numel(fils)
    I = imread(fullfile(fils(ii).folder,fils(ii).name));
    b = mat2cell(I(1:bh*numel(N1),1:bw*numel(N2),:),N1,N2,3);
    Ig = imread(fullfile(filsg(ii).folder,filsg(ii).name));
    bg = mat2cell(Ig(1:bh*numel(N1g),1:bw*numel(N2g),:),N1g,N2g);
    L{ii} = cat(4,b{:});
    Lg{ii} = cat(4,bg{:});
end