栾丽华;郭连军;
LUAN Li-hua,GUO Lian-jun(Department of Resource and Civil Engineering,Liaoning University of Science and Technology,Anshan 114044,Liaoning,China)

• 1:辽宁科技大学资源与土木工程学院

摘要(Abstract)：

根据爆堆图像灰度分布的特点,并结合小波变换应用于边缘检测的基本原理,采用能够检测局部突变能力的B样条小波用于爆堆岩石的边缘检测。通过推导,给出B样条小波滤波器,并根据滤波器设计出了基于二维小波边缘检测算法。在小波边缘分割中自主设计了自适应阈值检测算法,该算法能很好地去除图像的噪声,并保留了图像的边缘。
According to gray distribution features of images of blasting piles and the principle of wavelet transform on edge detection,B-spline wavelet having ability of detection of partial abrupt change was adopted to carry out edge detection of rock fragmentation size of blasting piles.The filter of B-spline wavelet was given by derivation,and edge detection algorithm based on two-dimensional wavelet transform was designed according to filter of B-spline wavelet.The detection arithmetic of self-adaptive threshold was designed in the wavelet edge division,and the arithmetic could remove noise of image and well reserve its edge.

关键词(KeyWords)： 小波变换;块度识别;边界分割;B样条小波
Wavelet transform;Identification of fragmentation size;Edge division;B-spline wavelet

Abstract:

Keywords:

基金项目(Foundation):

作者(Authors): 栾丽华;郭连军;
LUAN Li-hua,GUO Lian-jun(Department of Resource and Civil Engineering,Liaoning University of Science and Technology,Anshan 114044,Liaoning,China)

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