Grayscale uniformity adjustment method for multi-channel camera collection system

The invention discloses a grayscale uniformity adjustment method for a multi-channel camera collection system. The method comprises the steps of acquiring original image data collected by the multi-channel camera from the multi-channel camera in real time; analyzing the original image data to obtain a grayscale mean square error corresponding to the original image data; retaining the original image data or updating the original image data as adjusted image data according to deviation mean square values between the grayscale mean square error and an expected mean square error and size order ofthe deviation mean square values; and loading and displaying the original image data or the adjusted image data. With the technical scheme, the grayscale averaging efficiency of the multi-camera imagecollection system can be improved and the complicated degree is reduced. 本发明公开了种多摄像头采集系统的灰度均匀调节方法。所述方法包括：实时获取多路摄像头中路摄像头采集的图像原始数据；分析所述图像原始数据，得到与所述图像原始数据对应的灰度均方差；根据所述灰度均方差与期望均方差之间的偏差均方值与/非所述偏差均方值的大小排序，保留所述图像原始数据或更新所述图像原始数据为调节图像