Image Processing Onramp - Course 8 - CLASSIFY IMAGE

% 1. Select the 1st image of the datastore

ds = imageDatastore("testimages");
I = readimage(ds, 1);
imshow(I);
isReceipt = classifyImage(I)



% 2. Classify Image

function isReceipt = classifyImage(I)

    gs = im2gray(I);
    gs = imadjust(gs);

    mask = fspecial("average",3);
    gsSmooth = imfilter(gs,mask,"replicate");

    SE = strel("disk",8);
    Ibg = imclose(gsSmooth, SE);
    Ibgsub =  Ibg - gsSmooth;

    Ibw = ~imbinarize(Ibgsub);

    SE = strel("rectangle",[3 25]);
    stripes = imopen(Ibw, SE);
    signal = sum(stripes,2);

    % Classification
    minIndices = islocalmin(signal,"MinProminence",70,"ProminenceWindow",25);
    Nmin = nnz(minIndices);
    isReceipt = Nmin >= 9;

end