为了减少噪声对差分图的影响，需对图像进行高斯平滑处理。高斯滤波是一种线

In order to reduce the influence of noise on the difference image, Gaussian smoothing is needed on the image. Gaussian filtering is a linear smoothing filter, which is suitable for eliminating Gaussian noise and is widely used in the denoising process of image processing. In layman's terms, Gaussian filtering is the weighted average process of the entire image. The value of each pixel is obtained by weighted average of itself and other pixel values ​​in the neighborhood. After Gaussian smoothing, perform absolute difference processing on the edge information of the original image and the spliced ​​image to obtain the difference image.

In order to reduce the effect of noise on the difference plot, Gaussian smoothing of the image is required. Gaussian filtering is a kind of linear smooth filtering, which is suitable for eliminating Gaussian noise and is widely used in the noise reduction process of image processing. In layman's terms, Gauss filtering is the process of weighting the entire image, and the value of each pixel point is obtained by the weighted average of its own and other pixel values in the neighborhood. After Gaussian smoothing, the edge information of the original image and the splicing image is treated with absolute difference, and the differential image can be obtained.

In order to reduce the influence of noise on the difference image, Gaussian smoothing is needed. Gaussian filter is a kind of linear smoothing filter, which is suitable for eliminating Gaussian noise and widely used in image processing. Generally speaking, Gaussian filtering is the process of weighted average of the whole image. The value of each pixel is obtained by weighted average of itself and other pixels in the neighborhood. After Gaussian smoothing, the edge information of the original image and mosaic image is processed by absolute difference to get the difference image.<br>