平滑又称模糊，是一种经常用来降噪的图像处理操作，其本质是对图像进行平滑

Smoothing, also known as blurring, is an image processing operation often used for noise reduction. Its essence is to smooth the image and reduce the noise on the image. In the answer sheet identification and scanning system, the purpose of image smoothing is to eliminate redundant information in the image to the greatest extent, so as to facilitate the extraction of the contour features of the answer sheet in the future, and at the same time reduce the unnecessary calculation amount. Median filtering, bilateral filtering and Gaussian filtering are the most commonly used smoothing filtering methods.

Smoothing, also known as blur, is an image processing operation often used to reduce noise. Its essence is to smooth the image and reduce the noise on the image. In the answer card recognition scanning system, the purpose of image smoothing is to eliminate the redundant information in the image to the greatest extent, so as to facilitate the contour feature extraction of the answer card in the future, and reduce the unnecessary amount of calculation at the same time. Median filtering, bilateral filtering and Gaussian filtering are the most commonly used smoothing filtering methods.

Smoothing, also known as blurring, is an image processing operation that is often used to reduce noise. Its essence is to smooth the image and reduce the noise on the image. In the answer sheet identification scanning system, the purpose of image smoothing is to eliminate redundant information in the image to the greatest extent, facilitate the extraction of answer sheet outline features in the future, and reduce unnecessary computation. Median filtering, bilateral filtering and Gaussian filtering are the most commonly used smoothing filtering methods.