CAJ | 학술논문

在煤矿开采过程中，为将煤与矸石区分开来，提出了以人工智能、模式识别为理论基础，以数字图像处理为关键技术，并引用傅里叶变换作为图像处理的核心算法，以ARM主控板为开发平台的煤岩辨识系统。该系统以CMOS摄像头采集煤矿开采过程中的图像，通过对图像的分析，来确定采煤机滚筒的路径。
재매광개채과정중，위장매여안석구분개래，제출료이인공지능、모식식별위이론기출，이수자도상처리위관건기술，병인용부리협변환작위도상처리적핵심산법，이ARM주공판위개발평태적매암변식계통。해계통이CMOS섭상두채집매광개채과정중적도상，통과대도상적분석，래학정채매궤곤통적로경。
In the coal mining process, a new coal and rock recongnition system is proposed to distinguish between coal and rock, based on the principle of artificial intelligence and pattern recognition as the theoretical foundation. Fourier transform are described as the digital image processing key technique. The suggested coal and rock recongnition system is realized in the smart ARM development platform. Finally,determining the path of the drum shearer is through the analysis of image which captured by CMOS cameras in the mining process.