Comparison methods for selecting best images to solar panel monitoring

Our research is mainly based image processing techniques to ensure a smart monitoring of a solar station because one of the most critical issues facing solar plants is how to ensure an efficient monitoring of installations. In our previous work the problem encountered is how to select the best images from video frames to get a good panoramic image. So in this paper two methods for selecting the best images were reviewed: Key point matching and Histogram Method, then we present a study validation. All tests are applied on video sequence captured from a small solar plant installation.