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三维图像测量中单像素级边缘的检测
引用本文:孟亮,吴禄慎.三维图像测量中单像素级边缘的检测[J].南昌大学学报(工科版),2005,27(3):7-9.
作者姓名:孟亮  吴禄慎
作者单位:南昌大学,机电工程学院,江西,南昌,330029
基金项目:国家自然科学基金资助项目(59965003)
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,并存基于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.

关 键 词:小波变换  边缘检测  直方图  双阈值操作
文章编号:1006-0456(2005)03-0007-03
收稿时间:2004-12-10
修稿时间:2004年12月10

Method of Single Pixel Edges Detection for 3D Surface Measurement
MENG Liang,WU Lu-shen.Method of Single Pixel Edges Detection for 3D Surface Measurement[J].Journal of Nanchang University(Engineering & Technology Edition),2005,27(3):7-9.
Authors:MENG Liang  WU Lu-shen
Abstract: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.
Keywords:wavelet transform  edge detection  histogram  two thresholds algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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