DEHAZING OF DOWNHOLE IMAGE BASED ON FLFR-SCP ALGORITHM
The underground environment of coal mines is complex.During coal excavation production,dust removal and dust reduction,a large number of dust particles and mist are suspended in the air,resulting in the underground monitoring system unable to obtain clearer video images.The defogging algorithm based on the dark tunnel prior can not complete the real-time processing of underground images and the partial defogging of dust and fog images.The processing algorithm of transmittance map,the algorithm of obtaining atmospheric light value were improved,and the algorithm of atmospheric transmittance function and local dust fog processing were redesigned.Experiments show that the improved algorithm can calculate the atmospheric light value and transmittance more accurately,and can obtain clearer fog-free images.The improved image processing time is greatly shortened,which basically meets the requirements of downhole real-time processing.Aiming at the problem of uneven dust and fog in underground images,the algorithm also has a good processing effect.
Dark tunnel priorReal-time processingDownhole image defoggingBilateral filteringSmart mine
国家科技期刊平台
NSTL
万方数据
