【摘要】 根据图像采集系统实时采集的煤矿井下带式输送机煤流图像 ,利用一维小波分析方法求出描述图像煤流、胶带和背景的特征参数 ,通过BP网络进行目标分类 ,进而判别煤流边界 ,以求出煤流大小 .试验证明 ,这是一种简单实用的煤流大小实时估计方法 .更多还原

【Abstract】 This paper deals with the method measuring the width of coal flow on the conveyor belt by means of images recognizing. The images of coal mine’s conveyer belt are sampled by image manipulation system, and using one dimension wavelet, the eigenvectors of "coal flow", "conveyer", "background" are depicted, in the last, with BP neural network classing function, the width of the coal flow is estimated. It is proved that this method is simple and useful for estimating the width of the coal flow on the conveyer belt.更多还原