Dr. Lingfei Zhang Profile

Dr. Lingfei Zhang

at Harbin Institute of Technology

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Publications (2)

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Proceedings Article | 12 January 2009 Paper

Synchronization of binocular motion parameters optoelectronic measurement system

Lingfei Zhang, Dong Ye, Rensheng Che, Gang Chen

Proceedings Volume 7133, 713342 (2009) https://doi.org/10.1117/12.815009

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The synchronization between high-speed digital cameras and computers is very important for the binocular vision system based on light-weighted passive IR reflective markers and IR LED array PCB board, which is often used to measure the 3-D motion parameters of a rocket motor. In order to solve this problem, a comparison on the existing approaches to camera synchronization in the published literature was conducted. The advantages and disadvantages of the currently used methods were illustrated and their suitable applications were discussed. A new method, which uses self-made hardware resetting camera and software triggering image acquisition board, is provided. The self-made hardware is used to send TTL signal to two image acquisition boards one time per second. The TTL signal is used to reset two cameras and two image acquisition boards as PRIN signal, and then two image acquisition boards send same EXSYNC signal to two cameras. In this way, two cameras can be synchronized to exposure and capture images in the mean time. The test results indicated that the new approach designed in this paper can meet the demand of image acquisition at a speed of 200f/s, whose synchronization accuracy is up to micro second.

Proceedings Article | 12 January 2009 Paper

Fast centroid estimation algorithm for coordinates measurement of infrared markers

Lingfei Zhang, Gang Chen, Dong Ye, Rensheng Che

Proceedings Volume 7133, 713321 (2009) https://doi.org/10.1117/12.815008

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To determine the coordinates of infrared markers, it is very important for the binocular vision system based on lightweighted passive infrared reflective markers and infrared LED array PCB board, which is often used to measure the 3-D motion parameters of a rocket motor. Therefore, a fast centroid estimation algorithm, which segments the infrared image using self-adapting thresholding method, and then the centroid of infrared markers is calculated using improved statistical averaging technique, was developed. A comparison was made between the newly developed algorithm and other algorithms such as traditional statistical averaging, FFT and least-squares method. It is found through comparison that the new algorithm is more suitable for high-speed motion analysis due to its higher accuracy and faster processing speed. Experiments performed on real-world images show that the algorithm can greatly improve the speed of the calculation and meantime ensure the demand of precision on the basis of the better image segmentation result and improved statistical averaging technique.3

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