An improved registration framework for multimodal retinal images. Using SURF–PIIFD approach to detect and describe local features.
Robust point matching method for multimodal retinal image registration, Biomedical Signal Processing and Control, 2015, Vol. 19, pp. 68-76.
In this paper, motivated by the problem of multimodal retinal image registration, we introduce andimprove the robust registration framework based on partial ...
The overview of the proposed framework, VDD-Reg, for multimodal retinal image registration is shown in Fig. 6, which consists of a vessel segmentation module ...
An efficient approach for robust multimodal retinal image registration based on UR-SIFT features and PIIFD descriptors · A Partial Intensity Invariant Feature ...
Multimodal retinal image registration methods can be categorized into conventional and deep learning-based methods. The conventional methods can be further ...
Apr 11, 2015 · In this paper, motivated by the problem of multimodal retinal image registration, we introduce and improve the robust registration framework ...
Apr 28, 2013 · The approach is robust against low content contrast of color images and large content, appearance, and scale changes between color and other ...
A great number of methods have been proposed to solve this problem which can be typically solved by matching feature points extracted from retinal images.
We propose a Robust and Accurate Feature Matching Method for Multi-modal Geographic Images Spatial Registration (RAMMR) to fully extract common key points�...