摘要
在三维图像测量技术中,目标物体边界识别需要得到准确的单像素级的图像边缘.本文在采用小波变换进行检测图像边缘的方法上,首先根据像素邻域的灰度直方图自适应地选取小波变换的尺度,并在基于Mallat小波模极大值边缘检测方法的基础上借用双阈值操作技术的原理,对结果进一步细化,并将边缘点链接,从而最终得到单像素级的边缘图像,以满足下一步实验的要求.
Single pixel edges are needed for border recognition in the field of 3D surface measurement, and filter scale plays an important role in multi - scale edge detection used by wavelet transform. In this paper,a method was applied to determine the proper scales of wavelet transform adaptively based on the histogram of the pixel neighborhood. Then,by means of local maxima of the Mallat wavelet transform and the double threshohts algorithm to further image thinning,and linking edge points to attack edge discontinuity, the suitable edge can be detected.
出处
《南昌大学学报（工科版）》
CAS
2005年第3期7-9,共3页
Journal of Nanchang University(Engineering & Technology)
基金
国家自然科学基金资助项目(59965003)
关键词
小波变换
边缘检测
直方图
双阈值操作
wavelet transform
edge detection
histogram
two thresholds algorithm
