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A New Image Matching Algorithm Based on the Relative Position of Intensity

机译:基于强度相对位置的图像匹配新算法

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Illumination variations and noise pollution are the main factors that weaken most current image-matching algorithms. In order to get rid of these problems,a new image matching algorithm is proposed. It is based on every pixel's relative position of intensity (RPI) among its neighborhood instead of the intensity value of itself directly. A series of examples to demonstrate the algorithm and necessary results are also included.Experimental results reveal that the proposed RP1 still can achieve correct matching under the condition of illumination variations,low Signal Noise Ratio (SNR) and low fore-back ground contrast. This method serves as a general tool for high-precise image matching that are applicable to other vision problems such as 3-D reconstruction and satellite positioning.
机译:照明变化和噪声污染是削弱大多数当前图像匹配算法的主要因素。为了解决这些问题,提出了一种新的图像匹配算法。它基于每个像素在其邻域之间的相对强度(RPI)位置,而不是直接基于其自身的强度值。实验结果表明,所提出的RP1在光照变化,信噪比(SNR)低,前地面对比度低的条件下仍能实现正确的匹配。此方法用作用于高精度图像匹配的通用工具,适用于其他视觉问题,例如3-D重建和卫星定位。

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