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Alignment invariant image comparison implemented on the GPU

This paper proposes a GPU implemented algorithm to determine the differences between two binary images using Distance Transformations. These differences are invariant to slight rotation and offsets, making the technique ideal for comparisons between images that are not perfectly aligned. The parallel processing capabilities of the GPU allows for faster implementation than on traditional desktop processors. In order to take full advantage of this all aspects of the algorithm was implemented on the GPU.