摘要
提出一种基于提升小波的自适应阈值火灾图像边缘检测算法。该算法首先对火焰图像进行多层小波分解,对得到的低频部分用提出的改进提升方法提取边缘,对高频部分用小波变换的局部模极大值算法提取边缘,将所得边缘信息融合起来得到火焰图像边缘。实验结果表明,算法边缘定位准确,抗噪能力强,是一种有效的火灾图像边缘检测方法。
Presents the method of adaptive threshold based on lifting wavelet for fire image edge detection,aimming at the realtime character of fire image and many fire characters in fire edge. Lifting wavelet is used to detect the edge through multilevel wavelet decomposition,thus ib taubs 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 immuni ty, the detected image edge continuous, smooth, and is an effective method of edge detection.
出处
《现代计算机》
2013年第8期35-38,共4页
Modern Computer
关键词
火灾图像
提升小波
自适应阈值
边缘检测
Fire Image
Lifting Wavelet
Adaptive Threshold
Edge Detection
