摘要
研究了沥青混合料数字图像自动检测分析系统中的图像分割算法,给出了各种阈值的选取方法;并结合沥青混合料数字图像灰度直方图的双峰特征,分析比较了采用平均灰度法、状态法、迭代法、基于最小误差理论法以及基于最大方差理论的阈值分割法的不同处理结果,选用基于最大方差理论的方法对其进行分割处理。结果表明,该处理方法对沥青混合料自动检测系统测量精度的提高起着重要的作用。
To the automatic measurement and analysis system of the asphalt mixture, this paper studies the algorithm of image segmentation and gives the selection method of various threshold. Combined the birnodal characteristic of intensity histogram of the digital image with the comparative analysis of the actual processing results of various algorithms, it provids the reliable basis for the extraction of the follow-up characteristic values and the calculation of the parameter of the aggregate particle. And it plays an important role to the improvement of the measure accuracy of the whole system. 3 figs, 7 refs.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第6期34-38,共5页
Journal of Chang’an University(Natural Science Edition)
关键词
道路工程
沥青混合料
阈值算法
图像分割
自动检测
road engineering
asphalt mixture
algorithm of threshold
image segmentation
automatic measurement
