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The Application of Coal Cleaning Detection System based on Matlab Image Processing

机译:基于MATLAB图像处理的煤清洁检测系统在煤炭清洁检测系统

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This paper discusses the application of image processing methods in the Coal preparation detection system. The system uses a light source to illuminate the coal and coal gangue, and then captures images with a CCD camera. After that, those images are sent to analyze in the image processing module. The control system sets the jet valve to exclude gangue. For the image processing, the sample images are performed with the help of Matlab, by using the module of preprocessing, image segmentation and feature selection. After analyzing the grayscale histogram of the coal and gangue, the distinction between coal and coal gangue gray threshold are obtained. Finally, the control system compares the gray value and threshold to distinguish coal and gangue, and then excludes gangue to the transportation crawler.
机译:本文讨论了图像处理方法在煤制备检测系统中的应用。该系统使用光源来照亮煤炭和煤矸石,然后用CCD相机捕获图像。之后,将这些图像发送到图像处理模块中分析。控制系统将喷射阀设置为排除钻石。对于图像处理,通过使用预处理,图像分割和特征选择的模块,利用MATLAB执行样本图像。在分析煤和煤矸石的灰度直方图之后,获得了煤和煤矸石灰度阈值的区别。最后,控制系统比较了灰色值和阈值来区分煤炭和煤矸石,然后排除煤矸石到运输履带。

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