The Application of Coal Cleaning Detection System Based on
Embedded Real-Time Image Processing
Abstract:
This paper introduces a high-speed image processing of
embedded systems based on FPGA and DSP collaboration used in coal preparation
detection technology. The system uses a modular design, including a real-time
image acquisition module, DSP image processing module, and peripheral interface
module. The image processing required doing the following arithmetic
operations, including image smoothing to enhance, edge detection, region
segmentation, gray-scale analysis, pattern recognition. After completion of the
above algorithm, the system determines the image feature of coal and gangue,
particularly their gray scale values and the center of gravity. By analysis of
the characteristics of the image, the system identifies the gangue. The image
processing is conducive to the follow-up to discharge refuse treatment
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