The invention discloses an image-brightness-characteristic-based pan / tilt /
zoom (PTZ) video
visibility detection method, which comprises the following steps of: acquiring a
road condition video image by using a PTZ
video camera, extracting a
region of interest (ROI) of the
road surface, and acquiring high consistency of the selected pixels; obtaining an accurate
road surface region by utilizing a Nagao-filtering-based regional growth
algorithm, and ensuring consistent illumination of the selected pixels in a world coordinate; in the
road surface region, extracting a contrast curve reflecting the road
surface brightness change, searching brightness curve characteristic points, and calculating the farthest pixel which can be identified by human eyes in the image through an
extinction coefficient; and combining the camera to calibrate and convert the maximum
visual range, and determining a
visibility value. In the method, artificial markers are not needed to be set, the existing PTZ camera is fully utilized to
shoot road condition and acquire images, can monitor the
road condition in real time, and is low in monitoring cost; moreover, the requirement on large-area road
condition monitoring is met, the monitoring is stable and is not interfered by external environment, and the
visibility monitoring method is easy to implement, high in accuracy and good in effect.