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发明公开
CN107341502A 一种基于PCNN与线性叠加技术的图像融合方法及装置 有权

一种基于PCNN与线性叠加技术的图像融合方法及装置
摘要：
本发明提供一种基于PCNN与线性叠加技术的图像融合方法及装置，包括：S1，使用PCNN获取第一图像和第二图像对应的第一脉冲图像和第二脉冲图像；S2，对所述第一脉冲图像和所述第二脉冲图像分别进行叠加，获取所述第一图像和所述第二图像对应的第一显著性图像和第二显著性图像；S3，根据所述第一显著性图像和所述第二性显著性图像，使用判决算法对所述第一图像和所述第二图像进行融合。本发明通过使用PCNN充分提取图像中的有效信息，然后对于每幅待融合图像，将其脉冲图像中的有效信息进行叠加，并结合简单的判决算法对图像进行融合，本发明方法简单，处理速度快，能产生较好的融合效果。
摘要（英）：

The invention provides an image fusion method and device based on a PCNN (Pulse Coupled Neural Network) and a linear superposition technology. The method comprises the following steps: S1, acquiring a first pulse image and a second pulse image which correspond to a first image and a second image through the PCNN; S2, respectively superposing the first pulse image and the second pulse image to obtain a first significance image and a second significance image which correspond to the first image and the second image; and S3, fusing the first image and the second image by using a decision algorithm according to the first significance image and the second significance image. According to the image fusion method, valid information in the images is fully extracted by using the PCNN, then the valid information in the pulse image of each image to be fused is superposed, and the images are fused by the simple decision algorithm. The method is simple and high in processing speed, and can achieve a relatively good fusion effect.

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