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Least Square Estimation Based Mobile Robot Gas Source Localization in Stable-Airflow Environment: ＜正＞Large amount experimental results show that the gas concentration approximates to Gaussian distribution in ...; JIANG Ping~1; 文献传递

视觉注意机制在图像增强中的应用研究被引量：10: 2009年; 将视觉注意机制引入到直方图构造中,并在此基础上提出了一种新的基于灰度级信息量直方图的图像增强算法.该算法利用Itti视觉注意计算模型对图像的显著性进行分析,获得全局显著图;然后,将全局显著图划分为若干等大的子区域,求取各子区域的平均显著值,并做归一化处理,得到子区域的加权统计系数;再将各子区域的灰度级加权统计值相加,得到灰度级信息量直方图;最后,依据直方图均衡化的映射函数,调整灰度级的动态范围.实验结果表明,该算法明显优于经典的GHE算法和AHE算法,具有满意的视觉效果.; 曾明孟庆浩王湘晖邱亚男蒋萍李彦辉; 关键词：图像增强视觉注意机制直方图均衡

Distributed Gas-Source Localization Based on MMSE Estimation with Cooperative Sensor Networks: ＜正＞Sensor network based gas source localization（GSL） has great application prospect in the fields such as envi...; ZHANG Yong~(1; 文献传递

Paper Defects Detection via Visual Attention Mechanism: ＜正＞An improved paper defects detection method based on visual attention mechanism computation model is present...; JIANG Ping~1,GAO Tao~(2,3) 1.School of Control Science & Engineering,University of Jinan,Jinan 250022,P.R.China 2.Electronic Information Products Supervision and Inspection Institute of Hebei Province,Shijiazhuang 050071,Hebei,P.R.China 3.Industry and Information Technology Department of Hebei Province,Shijiazhuang 050051,Hebei,P.R.China; 文献传递

Multi-scale Analysis of Single-point Wind Signals in Outdoor Near-surface Environments: ＜正＞The odor/gas dispersion in atmospheric boundary layer is dominated by airflow.The analysis of the wind spee...; WANG Yang; 文献传递

A Particle Filter Algorithm for Odor Source Localization in Wireless Sensor Network: In this paper,we address the odor source localization （OSL） problem in wireless sensor network.The OSL has pot...; Yong Zhang is with the School of Electrical Engineering and Automation,Tianjin University,Tianjin,300072,China.Qing-Hao Meng is with the School of Electrical Engineering and Automation,Tianjin University,Tianjin,300072,China.Yu-Xiu Wu is with the School of Electrical Engineering and Automation,Tianjin University,Tianjin,300072,China.Ming Zeng is with the School of Electrical Engineering and Automation,Tianjin University,Tianjin,300072,China.; 文献传递

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国家自然科学基金(60802051)