Experimental results demonstrate that this method can effectively separate the video object from the sequence with static background and has the strong robustness.
实验结果证明，该方法能够从背景不变的图像序列中较好的提取出运动对象，具有较强的鲁棒性。
Experimental results showed that the algorithm can process with high detection ratio and high precision registration noise-corrupted images and images with complicated background.
实验结果表明，该算法能处理背景复杂和多噪声的图像，具有极高的检测率和精确度。
So in this background, to evaluate the policy performing condition in the experimental units has great academic and practical significance.
在这样一个大背景下，对政策在试点地区的实施情况进行评估，具有十分重大的理论意义和现实意义。
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