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.
Keywords :
air pollution; cleaning; coal; digital signal processing chips; edge detection; embedded systems; feature extraction; field programmable gate arrays; image enhancement; image segmentation; peripheral interfaces; production engineering computing; DSP image processing module; FPGA; arithmetic operations; center of gravity; coal cleaning detection system; coal image feature determines; coal preparation detection technology; edge detection; embedded real-time image processing system; gangue image feature determines; gray scale values; gray-scale analysis; high-speed image processing; image enhancement; image smoothing; pattern recognition; peripheral interface module; real-time image acquisition module; refuse treatment; region segmentation; Coal; Digital signal processing; Field programmable gate arrays; Image processing; Random access memory; Real-time systems; Streaming media; DSP; FPGA; gangue identification; real-time image processing;
