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	基于形态学与多项式拟合的紫外拉曼荧光背景扣除算法期刊论文 OAI收割光学学报, 2022, 卷号: 42 作者: 司赶上; 刘家祥; 李振钢; 宁志强; 方勇华 \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2023/11/10 spectroscopy Raman spectroscopy ultra-violet Raman background subtraction morphology polynomial fitting 光谱学拉曼光谱技术紫外拉曼背景扣除形态学多项式拟合
	A method for correcting illumination unevenness of solar image 会议论文 OAI收割 Beijing, China, 2017-11-24 作者: Fu, Xiaona; Ji KF(季凯帆); Yang, Yunfei; Duan, Wenliang; Deng, Hui \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2018/06/04 Uneven Illumination Background Fitting Mask
	Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Xue X.-C. 收藏 \| 浏览/下载：32/0 \| 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.