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.
Abstract—This paper introduces a high-speed imageprocessing of embedded systems based on FPGA and DSPcollaboration used in coal preparation detection technology.The system uses a modular design, including a real-time imageacquisition module, DSP image processing module, andperipheral interface module. The image processing requireddoing the following arithmetic operations, including imagesmoothing to enhance, edge detection, region segmentation,gray-scale analysis, pattern recognition. After completion ofthe above algorithm, the system determines the image featureof coal and gangue, particularly their gray scale values and thecenter of gravity. By analysis of the characteristics of theimage, the system identifies the gangue. The image processingis conducive to the follow-up to discharge refuse treatment.
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