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图片分割，实现图片的不显示后台分割，并改名保存-Image segmentation, the realization of the background images do not show partition, and changed its name to preserve
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Used for OpenCV gaussian background foreground segmentation-Used for OpenCV gaussian background foreground segmentation
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Graphcut 软件，用于对图分割，把背景从图片中去除-Graphcut software for segmentation of the plan to remove the background from the image
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切分窗口的应用，使用到了opengl绘制主窗口背景，ListView可以实现添加行列的操作。-Segmentation application window, use opengl to draw the background of the main window, ListView add the ranks of the operation can be achieved.
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本代码主要是对一幅灰度图像rice.jpg进行一些处理，消除rice.jpg图像中的亮度不一致的背景，并使用阀值分割将修改后的图像转换为二值图像，使用轮廓检测返回图像中目标对象的个数以及统计属性。
-This code is a major grayscale rice.jpg some processing, the brightness of the image to eliminate inconsistencies rice.jpg the background, and use t
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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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基于熵的图像分割方法有很多，Tsallis灰度熵是其中的一种，它与其他传统熵相比，考虑了图像中目标和背景类内灰度级的均匀性-There are many entropy-based image segmentation method, Tsallis grayscale entropy is one of them。 Compared with other traditional methods, it considering the target image and the backgroun
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GrabCut 算法是一种高效的前景背景分割算法。传统分割算法应用纹理或边界信息中的一种进行分割, 而GrabCut 算法
综合利用了纹理及边界两种信息进行图像分割。GrabCut 算法是对Graph cuts 算法的改进, 具有分割精度高, 交互式操作少的优
点, 并将分割从灰度图像推广到了彩色图像领域, 是一种比较有前途的交互式分割算法。该算法用在静态图像编辑中的图片背景
更换, 取得了很好的效果。-The GrabCut algorithm is an efficient pr
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GrabCut is an innovative 2D image segmentation technique developed
by Rother et al. [2004]. This paper provides implementation
details omitted from the original paper. Details covered in background
papers are summarized here so that future impl
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Segmentation of moving objects efficiently from video sequence is very important for many applications. Background subtraction is a common method typically used to segment moving objects in image sequences taken from a statistic camera. Some existing
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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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图像分割的两种有效方法，阈值分割和区域生长。其中，阈值分割适合目标区域与其背景在灰度特性上的差异比较大情况。另外，效果较好的区域生长法可以为大家提供参考-Two effective methods of image segmentation, thresholding and region growing. Among them, thresholding suitable target region and its background in grayscale characteristics
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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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用于图像分割目标物是集群式的，且与背景相差很多-Target objects are clustered on image segmentation, and with the background differ a lot
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这是一个简单的图像分割程序，对于背景不复杂的图像效果不错！-This is a simple image segmentation procedure, to the image effect of complex background is not good!
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自适应阈值分割可以根据图像自身的特性得到自适应阈值进而分割出目标和背景。-Adaptive threshold segmentation is based on the characteristics of the image itself to get the adaptive threshold and then segmentation the target 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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用U-net进行脑部图像多类分割，用keras框架进行实现(U-net brain segmentation keras tensorflow background)
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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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