Motion object region is extracted from multi-frame images in image sequences by using similar difference method.
它采用类似差分的方法从图像序列的多帧图像中检测出运动目标区域。
When using multi-frame image to extract target, image morphological dilation is used firstly to accumulate multi-frame image effectively and then associate the track with image flow method.
在利用多帧图像进行目标提取时，针对多帧图像积累的有效性保证问题，采取了在积累前进行图像形态膨胀的方法，通过图像流法进行多帧图像航迹关联。
This method accumulates the energy in the multi-frame image data along the target trajectories, and chooses a target trajectory whose accumulation value is biggest from all possible trajectories.
这种方法在多帧图像数据中沿着目标轨迹积累能量，在多条可能的轨迹中，选择积累值最大的一条作为目标轨迹。
A novel method based on multi-frame image information fusion is presented by extending the dynamic range of the microscopic image in order to improve the quality of TB sputum smear microscopic image.
为提高结核病痰涂片显微图像的质量，提出了一种基于多帧不同曝光图像信息融合，扩展被检测显微图像的动态范围，提高检测视野显微图像质量的实现方法。
In the methods of Motion Estimation, we often use Multi-frame Block Matching if there are multi objects in the image.
运动估计的方法中，在基于多目标场景的平移运动中多采用分级块匹配的方法。
To solve the problem of the poor gray level of SMPDP, the multi-frame combination and error diffusion methods are used. The image quality is improved greatly.
采用多帧图像的叠加显示和误差扩散方法，很好地解决图像灰度级不足的问题，从而提高荫罩式等离子体显示器的图像质量。
According to motion continuity and motion trajectory consistency in multi-frame successive image, the true small targets can be filtrated from candidate small targets.
最后利用序列图象中目标运动的连续性和轨迹的一致性来筛选出真正的目标。
Experiments show that at low bit-rate of image sequence transmission, thus multi-reference frame search algorithm has some advantages in matching accuracy and speed of operation.
实验证明，在低码率序列图像传输中，此多参考帧搜索算法在匹配精度和运算速度方面都有一定的优越性。
Aim at the characteristic of system image noise, using the algorithms of image noise filtering, multi-frame mean, neighborhood processing, we have obtained good results.
通过分析系统图像的噪声特征，采用多帧平均叠加法、邻域处理法，取得了较好的效果。
Aim at the characteristic of system image noise, using the algorithms of image noise filtering, multi-frame mean, neighborhood processing, we have obtained good results.
通过分析系统图像的噪声特征，采用多帧平均叠加法、邻域处理法，取得了较好的效果。
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