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Used for OpenCV gaussian background foreground segmentation-Used for OpenCV gaussian background foreground segmentation
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使用背景建模法和时间差分法的前景分割，使用找轮廓的方式显示移动物体的位置-Background modeling using time-difference method and the prospect of partition, use the display profile to find the position of moving objects
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自己写的分块分割算法，适合于场景比较复杂的物体前景背景分割。-Write their own block segmentation algorithm, suitable for more complex scene foreground and background of the object segmentation.
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a novel algorithm for fast tracking of generic objects in videos. The algorithm uses two components: a detector that makes use of the generalised Hough transform with pixel-based descr iptors, and a probabilistic segmentation method based on global m
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利用基于直方图的自适应阈值方法实现分割前景与背景-The use of adaptive threshold method of histogram based segmentation of foreground and background
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根据概率密度分布，分割前景与背景，附有实验图片-According to a probability density distribution, segmentation foreground and background, experiment with picture
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OTSU算法也称最大类间差法，有时也称之为大津算法，被认为是图像分割中阈值选取的最佳算法，计算简单，不受图像亮度和对比度的影响，因此在数字图像处理上得到了广泛的应用。它是按图像的灰度特性,将图像分成背景和前景两部分.(Difference method OTSU algorithm called maximum class, sometimes called the Otsu algorithm, is considered to be the best algorithm, threshold
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