The speed measurement of high-speed moving targets has extremely important significance in military fields, unmanned driving, space monitoring, and other fields. In digital image processing technology, the target coordinate system is often established through video frames for speed measurement. However, in some strong light environments, due to the strong ambient light, the reflected light of the moving target may be "submerged" in the ambient light, and the reflected light cannot be recognized by the detector in the end. Therefore, the motion trajectory of the moving target cannot be identified. For high-speed moving objects, using the backlight method is an effective method for measuring the trajectory of moving targets, but in strong light environments, the "background" light will also be unrecognizable.
This article proposes a new method for accurately measuring the speed of high-speed moving targets in bright light environments. Through spectral analysis of bright light environment, laser is selected as the background light. Laser has the characteristics of high power, strong energy, good penetration, and single wavelength. Its energy in the laser band (1064nm) is much higher than other wavelengths in the bright light environment, thus ensuring the stability of the light source. At the same time, the detection device adopts a band-pass Filter design to attenuate the energy outside the specific laser band and only detect the "background" light. And dynamically adaptively adjust the video frame number of highspeed moving target acquisition devices to improve speed measurement accuracy and reduce bandwidth pressure. The experimental results show that the method proposed in this paper can accurately and efficiently identify and measure the speed of high-speed targets in strong light environments.
KEYWORDS: Image processing, Cameras, Field programmable gate arrays, Automatic exposure, RGB color model, Light sources and illumination, Backlighting, Video processing, Video, Real time image processing
According to the characteristics of space camera subject to working environment and task requirements, the automatic exposure and automatic white balance are analyzed theoretically. Gaussian weight is used to correlate the target position and gray value of image, and the relationship between variable step size adjustment, balance accuracy and speed of automatic exposure is optimized. Automatic white balance performs color temperature estimation in RGB space, enabling accurate image color restoration under different illumination. The optimized design of hardware implementation according to the FPGA characteristics. Through the simulation software analysis and the effect of the hardware system display pictures, it is shown that the FPGA hardware system can run high-definition real-time, fast speed, low power consumption and strong practicability. This hardware system has been used in image processing of space cameras.
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