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Chinese Academy of Sciences Institutional Repositories Grid
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A Local Contrast Fusion Based 3D Otsu Algorithm for Multilevel Image Segmentation 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 200-213
作者:  
Ashish Kumar Bhandari;  Arunangshu Ghosh;  Immadisetty Vinod Kumar
  |  收藏  |  浏览/下载:20/0  |  提交时间:2021/03/11
An efficient level set method based on multi-scale image segmentation and hermite differential operator 期刊论文  OAI收割
NEUROCOMPUTING, 2016, 卷号: 188, 期号: 无, 页码: 90-101
作者:  
Wang, Xiao-Feng;  Min, Hai;  Zou, Le;  Zhang, Yi-Gang;  Tang, Yuan-Yan
收藏  |  浏览/下载:14/0  |  提交时间:2017/11/10
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.