矿岩破碎粒度的智能识别与测量  

Intelligent Size Detection and Measure of Fragmented Rock

作　　者：栾丽华[1] 郭连军[1] 

机构地区：[1]鞍山科技大学土木与交通工程学院,辽宁鞍山市114044

出　　处：《矿业研究与开发》2007年第4期59-60,63,共3页Mining Research and Development

摘　　要：把小波边缘检测技术应用于爆堆图像分割处理中,采用基于最优条件下二次B样条小波和自适应模极大值的图像边缘检测算法,综合运用膨胀技术和短链删除技术,很好的去除了伪边缘。在边缘提取的基础上,系统利用自主设计的一套算法快速实现了对图像中岩块几何特征量(面积、周长)的计算。Wavelet edge detection technology was applied to image segmentation of blasted muck -pile, in which quadric Bspline wavelet and a method of adaptive thresholds edge detection for image based on wavelet transform were applied, and methods of expanding and deleting short chain were used to delete untrue edge better. Based on edge detection, the system implemented the quick calculation on rocks area and perimeter with the developed arithmetic.

关 键 词：爆堆 块度 图像处理 边缘检测 小波 

分 类 号：TD231.1[矿业工程—矿井建设]