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How to recognize multiple similar items in an image?
Hello. I have a lot of photos that have a lot of similar items. An example in the photo. I need to find the boundaries of each such object.
Now I am looking for rectangular boxes of goods. First I find the logos in the photo, then for each logo I try to find the border of the box on which this logo is located. I use the Hough algorithm to find and highlight lines.
My code (using OpenCV) currently selects about 20% of the boxes. There is not a lot of data (labeled boxes), which does not allow us to properly train statistical algorithms (for example, neural networks)
. Please tell me ways to select boxes, especially taking into account their similarity.
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Banal correlator for the pyramid of images of the muzzle of the box.
An example (of many) of selecting an object from a scene in Matlab.
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