This system detected motion target using difference image method through threshold image segmentation, then automatically tracked target by using centroid tracking algorithm.
该系统运用差分图像法，通过阈值图像分割来检测运动目标，并采用形心跟踪算法来自动跟踪目标。
Finally, the output of this algorithm is the optimal threshold. Using this threshold to partition off the pixels, image segmentation is implemented.
最后，通过寻优搜索得到算法的输出值即为最优阈值，以此阈值划分像素，实现图像分割。
By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image.
综合运用阈值分割、边缘识别和像素标记法等图像识别技术，通过图像得到每个模型的相关定位信息。
Base on the recognition arithmetic, a segmentation method by forecasting threshold is proposed. Using this segmentation method in image tracking, satisfying effect is gotten.
在目标特征提取识别算法的基础上，还提出了阈值预测分割算法，并应用在序列图像的跟踪中，取得了较好效果。
Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.
结合梯度和灰度这两种图像的本质特征，提出一种基于边界梯度控制的最大熵阈值分割方法。
Image segmentation technique is the key process from image processing to image analysis. It is difficult to choose multi-threshold precisely and automatic using the basic image segmentation technique.
图像分割技术是图像处理到图像分析的关键步骤，应用基本的分割技术很难达到多阈值的自适应精确选取。
Image segmentation technique is the key process from image processing to image analysis. It is difficult to choose multi-threshold precisely and automatic using the basic image segmentation technique.
图像分割技术是图像处理到图像分析的关键步骤，应用基本的分割技术很难达到多阈值的自适应精确选取。
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