多模态图像配准的梯度一致性算子

基金项目: 国家自然科学基金资助项目(41271456)

详细信息

An Operator of Gradient Consistency for Multimodal Image Registration

¹School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China;²School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(41271456)

摘要: 多模态图像的配准是当前图像配准研究领域的重点和难点,由于灰度特性的非线性改变,在多模态图像的区域或特征之间确立有效的相似性测度是其主要难题。本文通过分析多模态图像的梯度特性,提出了以梯度向量夹角为配准依据、以梯度模为权重的梯度一致性算子,作为多模态图像区域配准的相似性测度,并将其应用于中波红外与可见光图像的配准。
- 多模态图像配准 /
- 影像匹配 /
- 梯度一致性 /
- 中波红外
Abstract: Multimodal image registration is one of the most important and difficult problems in the image registration research field.Due to the nonlinear change in the image gray scale between different modalities,the measure to determine the similarity between the image areas or image features is the main difficulty.By analyzing the characteristics of a multimodal image gradient,we propose the gradient consistency operator based on the norm-weighted angle between gradient vectors to improve the region-based image registration algorithm,and apply it to the registration between medium-wave infrared and visible images.
- multimodal imageregistration /
- image matching /
- gradient consistency /
- medium-wave infrared

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