Image location tracking of sun light spot based on hybrid filtering algorithm
LIU Jian
LI Tong
SUN Rui
LIU Hong-ru
Abstract：Aiming at the problem that the solar energy automatic tracking system has low tracking precision and poor stability in the traditional filtering algorithm because the isolated noise points in the sun light spot can not be completely eliminated and the image edge of sun light spot is fuzzy, a hybrid filtering noise algorithm based on the improved Wiener filtering and the detection mid-value of extreme value was proposed to carry out the denoising and filtering of sun light spot.Through measuring the solar altitude angle and azimuth angle at a certain place in different cases, the simulation experiments were performed.The results show that the proposed algorithm can adapt to the complex weather conditions, and can still conduct the accurate tracking of the sun under the rain and haze weather.Therefore, the proposed algorithm can reach the desired effect of improving the solar utilization ratio.
Keywords：image denoisingaverage filteringmedian filteringWiener filteringGaussian filteringpeak signal to noise ratioaltitude angleazimuth angletracking accuracy
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 438-443 )