基于可能性理论的配准新方法

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI:10.1109/ATSIP.2018.8364458

Wissal Ben Marzouka, B. Solaiman, K. Bsaïes, Zouhour Ben Dhief, A. Hammouda

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摘要

本文提出了一种基于可能性理论的配准新方法。我们重点介绍了在注册过程中最重要的三个阶段的关键点提取方法:Surf, Corner和BRISK。大量假骨的出现促使我们提出一种旨在尽可能减少异常值的新方法。基于可能性理论的基于类的图像配准提高了性能，从而减少了发现假关键点的数量。

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New method of registration based on the theory of possibility

This paper describes a new approach to registration based on the theory of possibilities. We have focused on keypoints extraction methods which present the most important phase for registration which are: Surf, Corner and BRISK. The appearance of a large number of false bones has encouraged us to present a new approach that aims to reduce as much as possible the outliers. The class-based image registration based on the theory of possibilities increases the performance so it reduces the number of false keypoints found.

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2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

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