摘要
对采用小波变换多尺度边缘检测得到的图像进行细化,并与传统的5种边缘检测算法的检测结果进行比较。选取不同小波变换的尺度,将图像信噪比作为评价指标对边缘检测算法进行度量。实验结果表明:基于二进小波变换的多尺度边缘细化检测算法在存在噪声干扰时可取得满意的边缘提取效果,在边缘信噪比方面优于传统边缘检测算法。
The image edge detected with multi-scale wavelet transform was refined and compared to the detection results of five conventional algorithms. The different wavelet transforms＇ scale and image＇s SNR（ signalto-noise ratio） were taken to measure edge detection algorithm. The experimental results show that the algorithm for image edge detection and thinning has good edge extraction effect even under noise interference,and it outperforms the conventional edge detection algorithms in edge SNR detection.
出处
《化工自动化及仪表》
CAS
2014年第6期641-646,共6页
Control and Instruments in Chemical Industry
基金
黑龙江省长江学者后备计划项目
