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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 1814-1817
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.1814
• Online since: November 2012
• Authors: Ji Xian Dong, Qian Mu
• Keywords: Coal Preparation Detection System, Gray Histogram, Image Processing, MATLAB

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