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首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >The retinal Image registration based on Scale Invariant Feature
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The retinal Image registration based on Scale Invariant Feature

机译：基于尺度不变特征的视网膜图像配准

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摘要

Accurate retinal Image registration is essential to monitor and track the progress of various diseases. Since it is low quality images on Non-mydriatic or with the disease. Then vascular structure will become less clear. It becomes more difficult for the general registration methods. In this paper, a novel feature based retinal image registration method is proposed to solve this problem. SIFT(Scale Invariant Feature Transform) as key-point is extracted. Best-Bin-First (BBF) and keypoints' orientations are applied to identify the corresponding features between two images. Affine model and quadric model are used to register two images, which is based on strategy of coarse to fine registration. Experimental results show that the method is robust and efficient.
机译：准确的视网膜图像注册对于监测和跟踪各种疾病的进度至关重要。由于它是非瞳孔或疾病的低质量图像。然后血管结构变得不那么清晰。一般注册方法变得更加困难。本文提出了一种新颖的基于特征的视网膜图像登记方法来解决这个问题。 SIFT（SCALE不变功能转换）提取键点。应用BIN-FIRST（BBF）和关键点的方向来识别两个图像之间的相应功能。仿射模型和二次模型用于注册两个图像，该图像基于粗略注册的策略。实验结果表明，该方法具有稳健且有效。

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