Adaptive Threshold Based on Lifting Wavelet for Fire Image Edge Detection
Presents the method of adaptive threshold based on lifting wavelet for fire image edge detection,aimming at the real-time character of fire image and many fire characters in fire edge.Lifting wavelet is used to detect the edge through multi-level wavelet decomposition,thus ibtaubs the image edges of different resolution.Then these edges are combined as an integrated edge.The experimental results show that this algorithm edge positioning accuracy,noise immunity,the detected image edge continuous,smooth,and is an effective method of edge detection.