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A fundamental problem of image registration is the determination of corresponding points. The scale-invariant feature transform (SIFT) is a well-known algorithm in this regard. However, SIFT suffers from quantity, quality and distribution of the detected points when facing with high-resolution and low-contrast colour retinal fundus images. This study introduces an improved SIFT algorithm which identifies...
A fundamental problem in retinal image registration (RIR) is the determination of correspondences between image pairs. State-of-the-art RIR methods use local features like scale invariant feature transform (SIFT) to find corresponding points. However, SIFT suffers from the quantity and quality of the detected points. On the other hand, the attention of human visual systems directs to regions instead...
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