In the purpose of recognizing and tracking targets from infrared thermal images, an infrared image processing algorithm based on mathematical morphology and wavelet transform was presented.
为了从红外热图像中识别和跟踪目标，提出了一种采用数学形态学和小波变换相结合的红外图像处理新方法。
A novel and robust approach for target tracking in infrared image sequence is proposed in this paper.
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。
The detection of small moving targets in infrared image sequences is one of the critical technologies of infrared Search and Tracking System (IRST).
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。
In order to improve the image discernment precision of infrared tracking system, the genetic algorithms based on wavelet transform is used in the processing of aerial target thermal image.
为了提高红外跟踪系统的图像识别精度，本文针对红外探测器生成的空中目标图像，提出用基于小波变换的遗传算法对红外热图像进行处理。
Infrared image guidance is a mainly study direction of precision guidance, a high-speed ir image tracking processor is researched in this paper.
红外成像制导是精确制导的主要研究方向，本论文对高速红外成像跟踪处理器进行了研究。
The Otsu's method is an effective algorithm for image segmentation. But it is unfit for the real-time image processing in the high frame rate infrared imaging tracking system for it is time-consuming.
最大类间方差法是一种常用而有效的图像分割算法，但由于计算量较大，不适宜于红外成像跟踪系统中高帧频的实时图像处理。
Experimental results show that the proposed moving objects detection and tracking algorithm works well in not only infrared image sequences but also visual ones.
实验结果证明了本文采用的运动目标检测与跟踪算法的有效性，此外该算法具有良好的通用性，用于可见光图像序列也能收到好的效果。
The proposed method has been applied to infrared image and head tracking applications.
该算法在红外序列以及头部跟踪中得到了成功的应用。
The result of the experiment shows that this method can improve the quality of the image effectively and meet the precision demands of the infrared tracking system.
实验结果验证该算法可以有效提高图像质量，能够满足跟踪系统的精度要求。
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.
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.
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。
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