%0 Journal Article
	%A Abhinav Kumar and  Raja Sekhar Bandaru and  B Madhusudan Rao and  Saket Kulkarni and  Nilesh Ghatpande
	%D 2010
	%J International Journal of Biomedical and Biological Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 41, 2010
	%T Automatic Image Alignment and Stitching of Medical Images with Seam Blending
	%U https://publications.waset.org/pdf/12878
	%V 41
	%X This paper proposes an algorithm which automatically aligns and stitches the component medical images (fluoroscopic) with varying degrees of overlap into a single composite image. The alignment method is based on similarity measure between the component images. As applied here the technique is intensity based rather than feature based. It works well in domains where feature based methods have difficulty, yet more robust than traditional correlation. Component images are stitched together using the new triangular averaging based blending algorithm. The quality of the resultant image is tested for photometric inconsistencies and geometric misalignments. This method cannot correct rotational, scale and perspective artifacts.

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