Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
P The color temperature of a drone image is affected by the color temperature of the light source, so the color of the drone image changes depending on the time of day and weather conditions. In this study, we proposed a method of color space transformation to change the color temperature of the video in real time. We also applied the color space transformation to a dataset to investigate the effectiveness of the method. The effectiveness of the method was shown by comparing the output image with the test image and the angular error of the corresponding pixels in the images. Verification using a mask image showed that the angular error in the region that requires a certain amount of green light is large. In addition, we proposed a real-time color calibration system using the proposed method.
