Dear all,
Iam working in GPR signal processing, for B-scan images I want to find the feature set after then i want to apply these features to classifier. I have find some statastical feature based on histogram. every time Iam calculating the features by changing B-scan image. I want to calculate the features foe all images I want to store by using single code please help me.
I have attached my m-file for your reference.
Dear Santhosh kumar Buddepu
Hope these links might help, have a look:
1. https://stackoverflow.com/questions/64680776/python-get-features-of-several-images
2. https://stackoverflow.com/questions/64680776/python-get-features-of-several-images
3. https://stackoverflow.com/questions/22272283/opencv-feature-matching-for-multiple-images
4. https://www.mathworks.com/matlabcentral/answers/447887-i-have-100-images-in-a-folder-i-want-to-extra-the-features-glcm-my-code-reads-all-the-images-but-o
Kind Regards
Qamar Ul Islam
Dear Santhosh kumar Buddepu
if you want to loop over all your image data try this in the beginning of your code
% Get list of all BMP files in the current directory
% DIR returns as a structure array.
imagefiles = dir('*.bmp'); %change the extension file
nfiles = length(imagefiles); % Number of files found
for ii=1:nfiles
currentfilename = imagefiles(ii).name;
currentimage = imread(currentfilename);
%continue the processing with your code
end
ref: https://www.mathworks.com/matlabcentral/answers/385-how-to-read-images-in-a-folder
1- https://github.com/Grootzz/GLCM-SVM/tree/master/src
2- https://github.com/topics/glcm?q=image+classification
3- https://github.com/analazovic/TextureClassification
Thank you all for your valuable answers. but how to find features from '.txt' files
initially my data is like this :
Hy_r=h5read('D:\PSNR_survey\Plastic_tiffin_box_eps9\Plastic_tiffin_box_antennaX_Ey_eps9_merged.out','/rxs/rx1/Ey');
after some steps I have used:
imwrite (mat2gray(Gxx_t2), 'NEW IMAGE.png');
[X_raw,map] = imread ('NEW IMAGE.png');
m=mean(X_raw');
m=uint8(m);
X_avg=X_raw-m';
imagesc(X,z_depth,X_avg)
The values X_avg are saved in excel sheet as ' text (tab delimited)'. now I can recall X_avg directly by using:
y=dlmread('X_avg.txt', '\t', 0, 0);
figure,imagesc(X,z_depth,X_avg)
I need to use dlmread to read the data and i need to use imagesc instead of imread and imshow.
Like this I have created a database of around 40 text files for metal pipe, steel box, plastic box. I want to extract statistical features from all the files for that I have calculated mean, variance, skew, kurtosis for single file.
[pixelCounts GLs] = imhist(X_avg); % GL-gray levels
% Get the number of pixels in the histogram.
numberOfPixels = sum(pixelCounts);
% Get the mean gray lavel.
meanGL = sum(GLs .* pixelCounts) / numberOfPixels
% Get the variance, which is the second central moment.
varianceGL = sum((GLs - meanGL) .^ 2 .* pixelCounts) / (numberOfPixels-1)
% Get the standard deviation.
sd = sqrt(varianceGL);
% Get the skew.
skew = sum((GLs - meanGL) .^ 3 .* pixelCounts) / ((numberOfPixels - 1) * sd^3)
% Get the kurtosis.
kurtosis = sum((GLs - meanGL) .^ 4 .* pixelCounts) / ((numberOfPixels - 1) * sd^4)
How to calculate these features for all files using single code and how to store these features?
To calculate the features for the images try to add for loop to your code.
1- https://in.mathworks.com/matlabcentral/answers/625533-reading-multiple-images-using-for-loop
2- https://stackoverflow.com/questions/27978817/how-to-read-mutliple-images-in-a-for-loop-in-matl