منابع مشابه
FIRE: Fundus Image Registration dataset
Purpose: Retinal image registration is a useful tool for medical professionals. However, evaluating the accuracy of these registrationmethods has not been consistently undertaken in the literature. To address this, a dataset comprised of retinal image pairs annotated with ground truth and an evaluation protocol for registration methods is proposed. Methods: The dataset is comprised of 134 retin...
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Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...
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ژورنال
عنوان ژورنال: Modeling and Artificial Intelligence in Ophthalmology
سال: 2017
ISSN: 2468-3930,2468-3922
DOI: 10.35119/maio.v1i4.42