The Application of Histogram on Rain Detection in Video
Xudong Zhao, Peng Liu, Jiafeng Liu, Tang Xianglong · 2008
Rain, which is randomly distributed and falls at high speed, behaves complex in video and makes the work of rain detection hard.The improved histogram model is proposed for detection and removal of rain in video.The properties of this model, which are suitable for both stationary and dynamic scenes, are particularly discussed.An appropriate and concise K-means clustering algorithm is embedded in our methods, which remarkably reduces the complexity of the existing algorithm.The effectiveness of our methods is demonstrated using experimental results, which corroborates the significance of the intensity property for detection and removal of rain in video.