基于煤炭运量控制系统的煤与煤矸石图像的识别

Recognition of coal and gangue based on coal transport volume control system

针对煤炭运量控制系统中的车载物识别这一背景,根据煤与煤矸石图像在灰度和纹理上的差异,并利用LBP算子在处理图像上的优势,提出了一种基于LBP算子的煤与煤矸石的识别方法。运用MAT-LAB语言对识别算法进行仿真实现。对比了LBP算法与以往算法的识别效果,得出了LBP算法的优越性。

This paper was based on recognition of stowage in coal transport volume control system. According to the differences in the grayscale and texture of coal and coal gangne, and using the merit of LBP operator in image processing, the article put forward a recognition method of coal and coal gangne based on LBP operator. The paper emulated and achieved recognition algorithm using MATLAB language. Compareing former algorithm with LBP algorithm, the article received the superiority of LBP algorithm.