find a invoice slip on a package
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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) :-
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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Antworten (1)
David Willingham
am 27 Mai 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 Kommentare
David Willingham
am 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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