提出一种海天背景下红外序列图像自动目标检测算法。
An efficient target detection algorithm for infrared sequence image with sea-sky background is presented.
该算法在红外序列以及头部跟踪中得到了成功的应用。
The proposed method has been applied to infrared image and head tracking applications.
红外序列图像边缘检测是图像处理中的重点和难点之一。
Target edge detection for image sequence is one of the important and difficult problems in digital image processing.
主要讨论了红外序列图像中缓动点目标的流水线检测算法。
This paper focuses on a pipeline algorithm for detecting slowly moving targets in infrared sequence images with complex background.
在复杂背景红外序列图像中，运动点目标的检测一直是研究的重点和难点。
Detection of moving point target in infrared sequence images with complex background is the emphasis and difficulty of target detection.
提出一种利用图像流分析法对红外序列图像中的运动小目标进行检测的算法。
An algorithm of small moving target detection in infrared image sequences is presented based on image flow analysis method.
基于红外序列图像中小目标的典型特征，提出了一种新的红外小目标检测与跟踪算法。
Based on the typical feature of small target in sequence infrared images, a new algorithm is proposed for detecting and tracking small targets in sequence images.
文中提出了将图像流分析与多级假设检验算法相结合的红外序列图像中运动点目标的检测方法。
A new algorithm is proposed for tracking moving point-source target in a image sequence. It combines motion analysis and multistage hypothesis tracking.
为了解决低对比度红外序列图像中运动小目标的检测问题，提出了一种基于多级滤波的检测方法。
In order to solve the problem of detecting moving small targets in low-contrast infrared image sequences, a new detection method based on multilevel filter is proposed.
通过两个包括亮度和尺寸变化以及目标的严重突变运动的红外序列，验证了提出的跟踪算法的有效性。
The proposed tracking method is demonstrated through two real infrared image sequences, which include the changes of luminance and size, and the drastic abrupt motions of the target.
对红外序列图像的对比度线性增强算法进行了研究，提出了一种基于多级均值思想的图像线性增强方法。
A technique of the contrast linear enhancing algorithm of Infrared Image sequences is discussed and studied. An algorithm of image linear enhancing based on the multi-level averages is proposed.
通过对红外序列图像进行中值滤波、边缘提取、海天线检测和形态滤波等预处理，提取出若干个候选目标。
It firstly extracts several target candidates through the preprocessing including median filtering, edge extraction, sea-sky line detection and morphological filtering of infrared sequence images.
红外序列图像运动小目标检测技术，是红外搜索与跟踪系统的一项核心技术，也是现代研究领域的一大难题。
The detection of small moving targets in infrared image sequences is one of the critical technologies of infrared Search and Tracking System (IRST).
根据目标、背景干扰和噪声在红外序列图像中的差异，提出了一种基于空间高通滤波和时间域上N帧轨迹积累的运动小目标检测方法。
According to the imaging difference of target, background clutter and noise, a moving small target detection method based on spacial high-pass filtering and N-frame track accumulating is presented.
红外图像序列中小目标的检测问题是当前的研究热点。
The detection problem for small targets in IR image sequences is a hot topic nowadays.
仿真实验结果表明，该算法具有较高的检测率和良好的实时特性，能有效地检测出低信比红外图像序列中的弱小运动目标。
Simulations of real IR image sequence with low SNR prove the algorithm can effectively detect dim moving target, and has high detection probability and excellent real time performance.
提出了一种红外图像序列中运动弱小目标检测的新方法。
A new detection method for moving dim small targets in infrared image sequences is presented.
提出了一种新的基于数学形态学的红外图像序列中弱点状运动目标的非参数检测算法。
A new nonparametric algorithm based on mathematical morphology is proposed for the detection of dim moving point target in infrared image sequence.
为了提高红外图像序列中弱小目标的信噪比和检测概率，同时考虑检测算法实时性，提出了一种新的基于空时域滤波的小目标检测方法。
To improve the Signal-to-noise Ratio(SNR) and detecting probability of small target in infrared image sequences, a novel method of target detection based on spatial-temporal filtering is proposed.
在本文的最后，采用红外图像序列对该算法进行模拟。
At the end of the paper, the whole algorithm is simulated with infrared image sequence.
为提高目标的正确识别率，提出一种基于空间点目标红外辐射序列的自适应时延神经网络(atnn)识别方法。
The Adaptive Time-delay Neural Network (ATNN) based on exo-atmospheric space point target IR radiation sequences is proposed in order to improve the recognition rate.
提出了一种新颖和鲁棒的红外图像序列中的目标跟踪方法。
A novel and robust approach for target tracking in infrared image sequence is proposed in this paper.
本文针对可见光和红外热图像序列中远距离目标检测，提出了一种基于决策级融合的目标检测方法。
Aim at the problem of detecting for long distance targets with visual and thermal infrared image sequences, a method of targets detection based on multisensor decision level fusion was developed.
针对可见光和红外热图像序列中的远距离目标检测问题，提出了一种基于模糊积分的可信度融合的目标检测方法。
Aimming at long distance targets detection problem in visual and thermal infrared image sequences, a confidence fusion detection method based on fuzzy integral.
它能够实时地产生一个红外场景图象序列，为863导引头信息处理机的性能测试提供了测试基准。
It can generate a sequence of infrared scene images in real time, and provide the standard test signals for the information processing device in the guiding head of 863 High Technology Program.
本文研究红外探测仪器产生的低信噪比序列图像中目标检测、识别及跟踪算法。
This paper proposes a new algorithm on dim target detecting, recognition and tracking from an image sequence produced by an IR sensor.
介绍了一种基于红外成像、序列图像处理和三维运动分析技术的对机动目标的红外单站被动定位新算法。
A new algorithm for infrared mono-station passive location for a mobile target is presented based on infrared imaging, series images processing and three dimensional movement analysis.
提出了一种对复杂云层背景下红外图像序列中弱小运动目标分割和检测的方法。
An efficient approach for segmenting and detecting small moving target in infrared image sequences against complex cloud layer background is given.
采用红外图像序列进行了实验，实验结果验证了理论分析的正确性。
Experiments are carried out on infrared image sequence, and the results verify the analysis ahead.
采用红外图像序列进行了实验，实验结果验证了理论分析的正确性。
Experiments are carried out on infrared image sequence, and the results verify the analysis ahead.
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