VIDEO FRAME ANALYSIS USING MORPHOLOGICAL NOISE REMOVAL FOR WAVE RUN-UP HEIGHT OBSERVATION

Abstract

 To improve the accuracy of wave run-up height observation, morphological noise removal method is applied to the video frame analysis. As a result, it is assured that the morphological noise removal is quite effective to neglect the noise appropriately and automatically which occurres due to the change of background brightness even if the threshold value of binarization is kept small as 10 to prevent the miss detection of maximum height of droplets. Also it is suggested that the method constructed in this study analyze wave run up height accurately compared with visual analysis of video frame. In addition, validity of this method is clarified by comparing the result wave run up height based on the video shot waves from different direction at the same time.