A Study of Improved Median Filter of Real-Time Positioning for the People Trapped in Thick Fog
Hu Zhang · 2014
In view of the low accuracy and time-consuming nature of the traditional positioning method,a real-time positioning algorithm based on an improved median filter was proposed to locate the people trapped in thick fog.First,to visually zone the heavy fog environment,initialize regional operation,and then,to make average filtering processing of heavy fog environment,and to conduct a statistical investigation of the non-peer pixel jump frequency.Jump times lower than 15 lines of the heavy fog image is the background region and those over 15 lines are the personnel of the pixel area.With the introduction of spatial location parameters,the location coordinates of the people trapped in thick fog was calculated;with the prior edge detection method and the aid of edge number of regional characteristics,the accurate location of the people trapped in thick fog was acquired.The experimental results show that compared with the traditional positioning method,the improved method has a higher application.