find a invoice slip on a package

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Yash Verma
Yash Verma on 27 May 2022
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);

Answers (1)

David Willingham
David Willingham on 27 May 2022
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.
  2 Comments
David Willingham
David Willingham on 1 Jun 2022
Yolo is great but you have a few options. Here is a link to the pretrained models in MATLAB you can use as a starting point: https://github.com/matlab-deep-learning/MATLAB-Deep-Learning-Model-Hub#ObjectDetection

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