how to save feature vector of SURF for each image and train, test it for classification to svm?

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chetna kaushal
chetna kaushal 2019-8-2
评论： chetna kaushal 2019-8-2
output for image 1: 322*64
output for image 2: 593*64
and so on the value*64 changes for each image. can anyone please help me how to save so many features and then use it for training.

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KALYAN ACHARJYA
KALYAN ACHARJYA 2019-8-2
编辑：KALYAN ACHARJYA 2019-8-2
"output for image 1: 322*64
output for image 2: 593*64
and so on the value*64 changes for each image. can anyone please help me how to save so many features and then use it for training"
Use cell array, I am answering the question to save different sizes/types results data
I am assuming you are calling Images
result=cells(1,total_images);
%................^Total result images
for i=1:total_images
%image read
result{i}= output result;
end
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chetna kaushal
chetna kaushal 2019-8-2
training = 'image';
filenames = dir(fullfile(training_female, '*.png'));
total_images = numel(filenames);
featureMatrix = [];
for n = 1:total_images
full_name= fullfile(training, filenames(n).name);
training_images = imread(full_name);
training_images=rgb2gray(training_images);
Fpoints = detectSURFFeatures(training_images);
[features, validPoints] = extractFeatures(training_images,Fpoints);
featurematrix{n} = [featureMatrix; features];
suppose I have 8 images.
The featuematrix has 8 cell struct. with different values in a 64 column for each image.
how do i now label them and then use them for classification. how do i call them for testing.

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