FPGA-based coal mine high-speed image acquisition and noise reduction system and processing method

Abstract

The invention relates to an FPGA-based coal mine high-speed image acquisition and noise reduction system and a processing method. The system comprises an image acquisition part, an image processing part, a display part and a communication part, wherein the image acquisition part comprises an image acquisition module; the image processing part comprises a power supply module, a crystal oscillator,a JTAG, an SDRAM and an FPGA; the FPGA comprises a clock management module, an image control module, an SDRAM control module, a display control module and a USB control module, and enhancement processing is carried out on an image through JTAG programming; the display part comprises a display and a monitoring module; the display control module is connected with the display; the communication partcomprises a USB transmission module and an optical fiber transceiving module and is used for realizing USB high-speed transmission of image signals; the optical fiber is transmitted and received by converting a USB into an optical fiber, converting USB and TTL levels and converting an electric signal into an optical signal. The method not only can eliminate isolated noise and reduce the gray valueof the image, but also can effectively enhance the image.

Description

technical field [0001] The invention relates to the field of image acquisition, in particular to an FPGA-based coal mine high-speed image acquisition and noise reduction system and processing method. Background technique [0002] In my country, the coal industry is one of the important energy sources in the domestic industrial field. my country's coal resources are abundant and the quantity is very large. The working environment of coal mining is mostly underground mining, and most of them are underground mining, and the underground working environment is very harsh. At the same time, the working space for underground production in coal mines is narrow, the light effect is not good, there are many underground workers, and the production of coal mines in my country is mainly small and medium-sized. Their relatively imperfect automation technology is the reason for the increase in the number of accidents. Finally, the useful image information cannot be well preserved. Undergro...

AI Technical Summary

Problems solved by technology

[0004] (1) 8-bit or 16-bit single-chip microcomputer: the system clock frequency of these single-chip microcomputers is low, and it cannot be well realized for high-frequency acquisition circuits, and most of them are programmed by C language

It is difficult to meet the needs of high-speed image acquisition and processing while wasting time while sequentially reading software

[0005] (2) DSP and ARM: Nowadays, both DSP and ARM have a high clock frequency, but the grasp of multi-module logic units is not strong. To put it bluntly, the parallel processing ability is poor, especially for the control of complex circuits.

Although the low-pass filter method can effectively remove noise, it will blur the image

The mean filtering method has a good denoising ability for Gaussian noise, but it will destroy the high-frequency details of the image and blur the image

[0007] (4) At present, the mainstream image processing chip is Xilinx, but its cost is relatively high, and its market share in China is low, and the information is not perfect

[0010] (2) The overall brightness of the video image is dark

The underground coal mine itself is in a dark environment, and the brightness of the light is far from meeting the brightness requirements of video capture. In addition, the resolution of the camera is limited, so the overall dark

[0011] (3) The color information of the collected video image is not perfect and the color of the target object is similar to that of the background environment

[0012] (4) The image is noisy

[0014] However, the existing FPGA-based image acquisition and noise reduction system has a weak signal and poor stability, and the existing processing method also has the defect of slow processing speed; There are harmonic components. If the digital ground is connected to the analog ground, the harmonics will interfere with the analog signal, that is, the harmonic components of the power supply and ground of the digital signal will cause interference, resulting in unsatisfactory image processing effects.

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