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长春光学精密机械与物... [2]
华南理工大学 [1]
内容类型
会议论文 [3]
发表日期
2011 [1]
2006 [1]
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Analysis of atmospheric pressure and temperature changes on the image quality of aerial camera (EI CONFERENCE)
会议论文
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Dong B.
;
Tian H.-Y.
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浏览/下载:22/0
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提交时间:2013/03/25
This paper starts from the study of the aerial camera's work environment
analyzes the temperature and atmosphere pressure changes on aerial camera's imaging quality of influence. Point out that when the altitude of the camera changes
atmospheric pressure and temperature of constant change
so the camera's optical focal surface position changes
thus affecting the image quality of the camera
causing changes in the camera's focal surface optical
and affecting the camera's image quality. Summarize the rules that the temperature and pressure influence the image quality of the camera in aerial environment. Analyze the various environmental conditions on the impact of camera's image quality. For different types of camera
put forward the corresponding convergence compensation method
and provides a reference value to the development of the aerial camera. 2011 IEEE.
Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Zhang S.-Y.
;
Liu W.-N.
;
Xue X.-C.
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浏览/下载:25/0
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提交时间:2013/03/25
Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper
in view of the low-flying target near the sea is always above the sea-level line
we can first locate the sea-level line
and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed
and the executive time of target segmentation is also much reduced. A new method is proposed
which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR
and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line
lastly uses the centroid tracking algorithm to detect and track the target. In the experiment
high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast
and eliminate the negative impact of the clutter caused by waves and clouds
and capture and track target real-timely and accurately.
A recognition method for 2D bar codes in various imaging conditions (CPCI-S收录)
会议论文
Proceedings of 2006 International Conference on Artificial Intelligence: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS
作者:
Liang, Ying-hong
;
Wang, Zhi-yan
;
Wu, Zhi-cheng
;
Xu, Gao-wei
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浏览/下载:5/0
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提交时间:2019/04/18
2D bar code
recognition
various image conditions
image process
cut-off rules
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