Abstract
Aiming at low-contrast fundus images directly captured by fundus instrument, a fundus image registration method based on improved feature description was proposed to improve the accuracy and efficiency of registration. First, pixel-level feature points were detected, and the sub-pixel position was calculated by Zernike Matrix. Then, an improved multi-disk mask feature description technique based on the FREAK algorithm is introduced to describe the feature points. Finally, the Euclidean distance combined with random sampling consistency algorithm is used to purify the matching points and calculate the transformation matrix to carry out the final image registration. The experimental results show that the proposed registration method can be used in fundus screening image database, especially in low-contrast fundus images. Compared with SIFT (Scale-invariant Feature Transform), SURF (Speeded-Up Robust Features) and FREAK (Fast Retina Keypoint) algorithms, the new method has more advantages in registration effect, efficiency and speed.
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