find a invoice slip on a package

Question

Yash Verma 2022-5-27

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1728340-find-a-invoice-slip-on-a-package

评论： David Willingham 2022-6-1

在 MATLAB Online 中打开

Given :- A image of a package

Goal :- To localize the invoice slip on the package

Tried corner detection , thresholding , morphological operations but couldn't reach the desired output

Input :-

Desired Output :-

Scripts (Not giving desired output) :-

Unrecognized function or variable 'filename'.
I = imread("image");
I=im2gray(I);
    level = graythresh(I);
    BW = I>(level*max(I(:)));
    BW=imfill(BW,'holes');
    BW=bwareaopen(BW,1000);
    se=strel('rectangle',[21 21]);
    BW=imdilate(BW,se);
%     BW = bwconvhull(BW);
    CC = bwconncomp(BW);
    
    numOfPixels = cellfun(@numel,CC.PixelIdxList);
    [unused,indexOfMax] = max(numOfPixels);
    BW(CC.PixelIdxList{indexOfMax}) = 0;
    img=zeros([size(BW,1) size(BW,2)]);
    img(CC.PixelIdxList{indexOfMax})=1;
    stats = regionprops(img, 'BoundingBox');
    crop_region = stats.BoundingBox; % contains [top_left_x top_left_y width height]
    cropped_img = imcrop(I, crop_region);

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Answer 1

David Willingham 2022-5-27

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1728340-find-a-invoice-slip-on-a-package#answer_972960

If traditional image processing doesn't work, you could possible try to build an object detector based on Deep Learning.

The key to building an objector detector is to have enough labeled data to train the model. The Image Labeler app will help here, as you can upload all your images and label them efficiently.