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Segment-based registration technique for visual-infrared images

机译：基于段的视觉-红外图像配准技术

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A new general registration method for images of different nature is presented. As gray levels or textures cannot be used for the registration of images from separate spectral bands, an edge-based method has been developed. Edge images are processed to extract straight linear segments, which are then grouped to form triangles. A set of candidate transformations is determined by matching triangles from the source and destination images. The transformations are then evaluated by matching the transformed set of source segments to the set of destination segments. As the coincidence of vertices or edge overlapping cannot be assumed in the registration of images of different nature, a new function for evaluating the matching quality between source and destination segments that does not rely on overlapping measures is proposed. Results and subjective evaluation of the registration of visual and thermal infrared images are presented. (C) 2000 Society of Photo-Optical Instrumentation Engineers. S0091-3286(00)03401-2. References: 35
机译：提出了一种新的不同性质图像的通用配准方法。由于灰度级别或纹理不能用于配准来自不同光谱波段的图像，因此开发了一种基于边缘的方法。对边缘图像进行处理以提取直线线段，然后将其分组以形成三角形。一组候选变换是通过匹配源图像和目标图像中的三角形来确定的。然后，通过将转换后的源段集与目标段集进行匹配来评估转换。针对不同性质图像配准中不能假设顶点或边重叠的重合，该文提出一种不依赖重叠度量的源段和目标段匹配质量评估的新函数。介绍了视觉和热红外图像配准的结果和主观评价。（c） 2000年光电仪器工程师学会。[S0091-3286（00）：03401-2].[参考文献： 35]

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