实验证明了该算法用于航摄动态图像序列稳定的有效性。
The experiments demonstrate the effectiveness of the algorithm when it is applied to stabilizing of air dynamic image sequence.
将此算法应用于舰船图像序列稳定实验,分别采用图像差值和图像序列的逼真度对稳定的结果进行了评定。
The ship image sequence can be stabilized using this algorithm and the results can be assessed by the fidelity of image sequence and image difference.
针对帧间旋转图像序列的稳定处理,提出一种新的运动矢量探测方法。
A new detection method of motion vector was proposed in order to stabilize image sequence with rotation.
针对背景的缓变特性和实时图像处理的需求,该文提出了一种基于序列图像时间稳定性特征的背景估计技术。
A background estimation technique was developed based on sequential image time stability for slowly changing background in real-time image processing.
实验表明,这种算法在长达数百帧的图像序列中,始终能准确地分割出运动目标,并稳定跟踪目标的运动。
The experiments confirm that this algorithm can segment the moving targets accurately, and track them robustly among the image sequence of hundreds of frames.
本文利用火焰的颜色信息,火焰的图像序列的边缘不稳定和相似性等可识别特征,实现对火焰的识别。
This paper use effective character of the fire, for example, color information, instability and comparability of the edge of image sequence to realize the automatic alarming for fire.
不规则的旋转运动会明显降低图像序列的质量,旋转运动估计是实现图像稳定的关键技术。
Irregular rotational motion degrades the image sequences, and the rotational motion estimation is the key of the electronic image stabilization.
针对摄像机不稳定引起的图像序列抖动提出一种基于块匹配的全局运动估计与补偿算法,介绍了它在电子图像稳定(EIS)系统中的应用。
In response to image quivering caused by video cameras, an algorithm of overall motion estimation and compensation is proposed based on block matching. Its application is introduced in EIS system.
试验表明,该算法有效地稳定了图像序列,并且满足实时性要求。
Experimental results show that this algorithm not only smooth out the image sequences but also satisfy the demand of the real -time system.
用均值滤波的方法确定各帧的补偿量,并代入给定的变换模型对当前图像进行变换,实现对视频图像序列的稳定处理。
The parameters to compensate for the current image can be determined by average value filtering and have been applied to give motion model to stabilize the image stream.
用均值滤波的方法确定各帧的补偿量,并代入给定的变换模型对当前图像进行变换,实现对视频图像序列的稳定处理。
The parameters to compensate for the current image can be determined by average value filtering and have been applied to give motion model to stabilize the image stream.
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