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reduce interest area for image stitching

I’d like to do image stitching on hard samples, having repeated patterns. Let’s say, images of a wall like a chessboard with non informative background (sand).

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I’m using python cv2 image stitching, but it “compress” the output. The repeated pattern, must be misleading cv2 into thinking it is an image repetition:

image description

I’d like the image stitching algorigthm to give me the next output:

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I think it is reachable, by using a parameter to:

  • specify the image order sequence: [image_1.jpg, image_2.jpg, image_3.jpg]
  • specify the left and right image area to be taken into account for the pattern matching: [(0%, 18%),(18%,18%), (12%,0%)]

In my case, I could have this data:

image description

How could I solve it with opencv?

Thanks in advance