首页> 中文期刊> 《工程爆破》 >基于二维小波变换的爆堆矿岩边缘检测

基于二维小波变换的爆堆矿岩边缘检测

         

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.%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 a-dopted 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.

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号