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Fusion algorithm for Terahertz and visible light images based on region segmentation and NSCT

机译:基于区域分割和NSCT的太赫兹和可见光图像融合算法

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The image fusion technique is applied to the field of Terahertz(THz) image processing to solve the problem that THz cameras offered low-resolution images, which do not match the human visual habits. A fusion algorithm is proposed based on region segmentation and Nonsubsampled Contourlet (NSCT). The THz image is divided into target area and background area, which are mapped into the visible images in next step, and the different rules are designed in NSCT domain. Experimental results show that the proposed algorithm displays the target, retains the background and detail information effectively. This algorithm is more feasible than traditional fusion algorithm based on pixel and regional energy in the human eye perceives, and can be used effectively for machine vision and terahertz security area.
机译:图像融合技术应用于太赫兹(THz)图像处理领域,以解决THz摄像机提供的低分辨率图像的问题,这与人类的视觉习惯不匹配。提出了一种基于区域分割和非管制型轮廓(NSCT)的融合算法。 THz图像被分成目标区域和背景区域,将其映射到下一步中的可见图像中,并且在NSCT域中设计了不同的规则。实验结果表明,该算法显示了目标,有效地保留了背景和详细信息。该算法比人类眼睛中的像素和区域能量在人眼中的传统融合算法更加可行,并且可以有效地用于机器视觉和太赫兹安全区域。

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