Improving the Entropy Algorithm with Image Segmentation
نویسنده
چکیده
This work proposes using image segmentation to improve entropybased registration by selecting the most physically invariant component(s) between the images and registering said components. A segmentation algorithm has been devised and herein presented that, given parameters of the physically invariant structure’s intensity, can segment out the physically invariant structures in an image; these structures are then used to register the image using a basic entropy-based rotational alignment algorithm that will also herein be discussed. In the conducted experiments, it has been found that the segmented and masked images used in these tests align as well or better than the unaltered images.
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