摘要
将小波变换边缘检测技术引入焊缝图像的处理过程,有效解决了算子边缘检测技术在抗噪声能力和精确定位能力间的矛盾.通过采用二次B样条小波检测焊缝图像的边缘,并定义了相似性距离定量的比较各类检测结果的优劣,通过该距离的定量计算和比较,充分显示了小波变换技术在抗噪声能力和精确定位能力方面的优越性.
The wavelet edge detecting method was introduced to the welding seam image processing in this paper,which can make up the defect of usual edge detecting methods in antinoise ability and precise locating ability.The B spline wavelet was applied to extract the image edge and the similarity distance was defined to compare the extracting results.The contrasting results demonstrate the wavelet edge detection is better than the usual methods,which justified the validity that the wavelet transform can be used effi...
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2008年第S1期65-67,86,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
江苏省科技成果转化项目(BA2007058)
关键词
图像处理
小波变换
边缘检测
焊缝图像
B样条小波
相似性距离
image processing
wavelet transform
edge detection
welding seam image
B spline wavelet
similarity distance