Hi!
I am facing an issue while segmenting packages moving on a (dark gray-almost black) conveyor belt. This packages have a standard size of 30x20cm or 20x20cm as an example. The problem comes when these packages have a tape from side to side that closes the box, but the color of the tape and the conveyor are quite similar and it generates a problem while segmenting the whole package, so I detect 2 objects.
Here’s an example of the use case:
I tried so many things, but I am not expert in image processing, I am learning, so but I would like to know if there’s any image process technique/algorithm in OpenCV that can help me out with this use case.
Thanks in advance! 
morphology operation. dilate or close.
and maybe select that background tighter. it’s probably distinguishable from the amazon tape. show us a real picture of the conveyor belt. what you show us there is edited.
Thanks! That’s what I’ve tried, morph close in rect and cross, because package can be placed i different angle positions. I was thinking also in having the corner points of the package and segmentate the polygon inside those points.
Here I attach a real picture:
that picture looks underexposed. I would recommend stronger light. (synchronized) strobe light is sensible if you set your camera for short exposure times to minimize motion blur.
with Otsu thresholding, followed by k dilation, 2k erosion, k dilation (k iterations), this cleans up sufficiently… but the parameters may depend on the picture. it’s not gonna get much cleaner than this.
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