I have taken a kaggle image dataset which contains star, triangle, circle and square. I have considered some images for training and testing and I have classified them using SVM:
clc;
clear all;
close all;
path1='D:\imagedb\trainimg';
path2='D:\imagedb\testimg';
traindb=imageDatastore(path1,'IncludeSubfolders',true,'LabelSource','foldernames');
testdb=imageDatastore(path2,'IncludeSubfolders',true,'LabelSource','foldernames');
%Training
img=readimage(traindb,1);
CS=[16,16];
[hogfv,hogvis]=extractHogfeatures(img,'cellsize',CS);
hogfeaturesize=length(hogfv);
totaltrainimages=numel(traindb.Files);
trainingfeatures=zeros(totaltrainimages,hogfeaturesize,'single');
for i=1:totaltrainimages
img=readimage(traindb,i);
trainingfeatures(i,:)=extractHogfeatures(img,'cellsize',CS);
end
traininglabels=traindb.Labels;
classifier=fitcecoc(trainingfeatures,traininglabels);
%testing all test images
totaltestimages=numel(testdb.Files);
testfeatures=zeros(totaltestimages,hogfeaturesize,'single');
for i=1:totaltestimages
imgt=readimage(testdb,i);
testfeatures(i,:)=extractHogfeatures(imgt,'cellsize',CS);
end
testlabels=testdb.Labels;
predictedlabels=predict(classifier,testfeatures);
accuracy=(sum(predictedlabels==testlabels)/numel(testlabels))*100
plotconfusion(testlabels,predictedlabels)
In the same manner I want to classify objects like metal pipe, steel box and plastic box buried under the ground. The imaging is done by using ground penetrating radar which actually sends EM pulses into the ground and generates B-scan images but the images not exactly give original images, it will give hyperbola shape only. I have generated some database by varying object sizes, depths and dielectric constants. Imaging is done by imagesc not by imshow. I could not save the image as .jpg or .png etc formats. so that I cannot read by imread or readimage. after plotting I have saved the data in excel '.txt' format and I'm recalling by 'dlmread'. like below
y=dlmread('metal_pipe_er2.6.txt', '\t', 0, 0);
figure,imagesc(X,z_depth,y)
now I want to extract HOG features for my text files as like imaging database and classify using SVM. please help me
Dear Santhosh
You can use the Radar Toolbox of Matlab (free trial) https://www.mathworks.com/products/radar.html
to convert from GPR signals to images and to process the data. Later you can use the extractHOGFeatures command to extract features after converting to an image.
Thank you Mohamad M. Awad sir
I dont know how to use tool box. can you please explain how to take GPR signals and how to convert into images using this tool box?
Hi Santhosh kumar Buddepu ,
Sorry, I do not have access to this toolbox. However, you can still manage to convert a text file to an image. Although I do not know the format of your text file, this may work check the following solution
https://www.mathworks.com/matlabcentral/answers/339147-how-to-create-an-image-in-matlab-from-txt-file
Check also the following article
Article Singular value decomposition and wavy reflections in ground-...
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