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基于二维小波变换的爆堆矿岩边缘检测
引用本文:栾丽华,郭连军.基于二维小波变换的爆堆矿岩边缘检测[J].工程爆破,2011,17(3).
作者姓名:栾丽华  郭连军
作者单位:辽宁科技大学资源与土木工程学院,辽宁鞍山,114044
摘    要: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。

关 键 词:小波变换  块度识别  边界分割  B样条小波

EDGE DETECTION OF BLASTING PILES BASED ON TWO DIMENSIONAL WAVELET TRANSFORM
LUAN Li-hua,GUO Lian-jun.EDGE DETECTION OF BLASTING PILES BASED ON TWO DIMENSIONAL WAVELET TRANSFORM[J].Engineering Blasting,2011,17(3).
Authors:LUAN Li-hua  GUO Lian-jun
Affiliation:LUAN Li-hua,GUO Lian-jun(Department of Resource and Civil Engineering,Liaoning University of Science and Technology,Anshan 114044,Liaoning,China)
Abstract: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 ...
Keywords:Wavelet transform  Identification of fragmentation size  Edge division  B-spline wavelet  
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