Create a struct that contain ABCD features for an image dataset

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Hend Abouche 2022년 5월 12일

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https://kr.mathworks.com/matlabcentral/answers/1718015-create-a-struct-that-contain-abcd-features-for-an-image-dataset

댓글: Hend Abouche 2022년 5월 12일

Hello guys, I've been trying to import the ABCD features of all my image dataset but when I open the csv file I only find one row and I don't know how I can fix it

imds = imageDatastore(Source,"IncludeSubfolders",true,"FileExtensions",".jpg");
imds1 = imageDatastore(Source1,"IncludeSubfolders",true,"FileExtensions",".jpg");
% lire toutes les images avec une boucle
for i= 1 :size(imds.Files,1)
    I = readimage(imds,i);
    gray=rgb2gray(I);
    binaryImage=imbinarize(rescale(gray));
    binaryImage = bwareafilt(binaryImage, 1);
    segmented=readimage(imds1,i);
    asymmetry=ASYMMETRY(binaryImage,segmented);
    Colors_Score=Couleur(segmented);
    Borders=borders(binaryImage);
    Diameter=diameter(binaryImage);
    ABCD_Features.Asymmetry1=asymmetry.A1;
    ABCD_Features.Asymmetry2=asymmetry.A2;
    ABCD_Features.Color=Colors_Score;
    ABCD_Features.Border1=Borders.B1;
    ABCD_Features.Border2=Borders.B2;
    ABCD_Features.Border3=Borders.B3;
    ABCD_Features.Diameter1=Diameter.D1;
    ABCD_Features.Diameter2=Diameter.D2;
    ABCD_Features=struct2table(ABCD_Features);
    writetable( ABCD_Features, 'ABCD_Features.csv');
end

ASYMMETRY, Couleur, Borders and diamter are my functions that I use, I will be very grateful if you can help me with this

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Answer 1

Image Analyst 2022년 5월 12일

0
링크

이 답변에 대한 바로 가기 링크

https://kr.mathworks.com/matlabcentral/answers/1718015-create-a-struct-that-contain-abcd-features-for-an-image-dataset#answer_962980

MATLAB Online에서 열기

You need to tack on that table to a growing one.

imds = imageDatastore(Source,"IncludeSubfolders",true,"FileExtensions",".jpg");
imds1 = imageDatastore(Source1,"IncludeSubfolders",true,"FileExtensions",".jpg");
% lire toutes les images avec une boucle
for i= 1 :size(imds.Files,1)
    I = readimage(imds,i);
    gray=rgb2gray(I);
    binaryImage=imbinarize(rescale(gray));
    binaryImage = bwareafilt(binaryImage, 1);
    segmented=readimage(imds1,i);
    asymmetry=ASYMMETRY(binaryImage,segmented);
    Colors_Score=Couleur(segmented);
    Borders=borders(binaryImage);
    Diameter=diameter(binaryImage);
    ABCD_Features.Asymmetry1=asymmetry.A1;
    ABCD_Features.Asymmetry2=asymmetry.A2;
    ABCD_Features.Color=Colors_Score;
    ABCD_Features.Border1=Borders.B1;
    ABCD_Features.Border2=Borders.B2;
    ABCD_Features.Border3=Borders.B3;
    ABCD_Features.Diameter1=Diameter.D1;
    ABCD_Features.Diameter2=Diameter.D2;
    thisTable = struct2table(ABCD_Features);
    % Add this table on to our growing, master table.
    if i == 1
        masterTable = thisTable;
    else
        masterTable = [masterTable; thisTable];
    end
end
% Write out master table.
writetable( ABCD_Features, 'ABCD_Features.csv');