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基于数字图像的煤岩辨识系统综述
引用本文:张桂茹,郑亚东,陈志伟. 基于数字图像的煤岩辨识系统综述[J]. 科技咨询导报, 2013, 0(35): 57-58
作者姓名:张桂茹  郑亚东  陈志伟
作者单位:中国矿业大学,北京100083
摘    要: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。

关 键 词:煤岩辨识  数字图像处理  ARM  傅立叶变换

Summary of coal and rock recongnition system based on digital image
Abstract: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.
Keywords:coal and rock recongnition  digital image processing  ARM  Fourier transform
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