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A new space image enhancement approch based on image registrtaion

机译:一种基于图像配准的新空间图像增强方法

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In order to enhance the space images photographed in different time or in different views, a new image enhancement approach based on image registration is proposed in this paper. The structural features named triangular feature are made by the corners detected by an improved Harris method, and then they are matched by the Triangle congruence criteria. The centers of the matched triangles are fine matched using the MLESAC method. And next, the correct feature points are taken into the transform function to calculate the registration parameters. Finally, the registrated space images are superpositioned, and the dim objects are enhanced. Real images are used to verify this algorithm and the experimental results show that the algorithm can achieve accurate registration for the space image and the dim targets are significantly enhanced.
机译:为了增强在不同时间或不同视图中拍摄的空间图像,本文提出了一种基于图像配准的新图像增强方法。命名为三角形特征的结构特征是由改进的哈里斯方法检测的角,然后它们与三角同一批标准匹配。使用MLESAC方法,匹配三角形的中心是精细的匹配。接下来,正确的特征点被取入变换功能以计算注册参数。最后,注册空间图像叠加,并增强了暗淡物体。真实的图像用于验证该算法,实验结果表明,该算法可以实现空间图像的准确注册,并且暗淡的目标明显增强。

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