搜索资源列表
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一个很简单的颜色混合函数
只要提供前景色和背景色以及 Alpha 就可返回混合后的颜色
不太适合大型图像的混合 比较适合小图标
(附带示例)-a very simple color mixing function for as long as the foreground color and background color and can be returned to the Alpha mixed after less suitable for the large-scale c
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ADAPTIVETHRESHOLD An adaptive thresholding algorithm that seperates the foreground from the background with nonuniform illumination-ADAPTIVETHRESHOLD An adaptive threshold ing algorithm that separates the foreground fr om the background with nonunifo
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一个自适应阈值处理程序，是图像分割领域难题的一个处理方向，该方法效果还不错An adaptive thresholding algorithm that seperates the background with nonuniform illumination.
％foreground from the background with nonuniform illumination.
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This code implements the well-known Chan-Vese segmentation algorithm from the paper \"Active Contours Without Edges.\"
This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions.
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混合高斯背景建模用于检出背景，并提取前景，在OPENCV环境下操作进行的。是数字图像处理领域不可缺少的一种处理方式。OPENCV库里含有的函数在数字图像中的作用都是不可获取的，用起来简单又便捷，建议OPENCV从头认真学起-Gaussian mixture background modeling for the detection of background and foreground extraction, OPENCV environment in the operation. The f
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Change detection by background subtraction is a
common approach to detect moving foreground. The
resulting difference image is usually thresholded to obtain
objects based on pixel connectedness and resulting blob
objects are subsequently trac
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灰度均衡函数，拉升背景色和前景色的对比度！-Gray balance, try for Foreground and background color contrast!
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高斯背景建模，有效地对视频图像进行前景和背景的处理，希望对大家有帮助！-Gaussian background modeling and effective video image foreground and background processing, you want to help!
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grab cut的源码，grab cut是一种效果比较好的交互式前景和背景分割方法。-grab cut the source, grab cut is a good interactive effect of the foreground and background segmentation.
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This paper proposes a novel document image
binarization approach based on stroke neighborhood
enhancement. First, foreground pixels are initially
labeled. Then, the strokes are enhanced based on their
neighborhood information which include gr
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自动前背景分割，基于超像素、形状和外观前验概率及图切割-A novel foreground/background segmentation
algorithm that attempts to segment the interesting
objects from the rest of the image.The model includes a geometric prior and an appearance
prior, whose parameters are lear
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复杂背景下的前景检测，这篇文章被引用的比较多，值得学习-foreground detection from video in complex background
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一个鲁棒 matting 的程序，可生成trimap，可手动画出前景，背景，trimap，提取图像-A robust matting program can generate trimap, you can manually draw the foreground, background, trimap, extract images
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背景差分法，视频程序，分离出了前景和背景-Background difference method, video program, separating the foreground and background
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针对子块级背景建模方法无法保证所提取前景形状的精确性及像素级背景建模方法无法有效处理非平稳场景的问题，提出了一种背景建模分层模型，首先采用文中子块级建模算法得到较为粗糙的背景区域和前景区域，然后利用混合高斯模型对特定图像区域执行像素级的前景提纯或背景模型更新操作，2 种不同层次的算法通过非
对称前向反馈机制进行级联。实验结果表明，所提分层模型在能够有效处理非平稳场景的同时保证了所提取前景
形状的精确性，且对光照突变不敏感，建模效果优于级联算法中任一独立算法，而处理时间小于2 种独立算法处
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基于meanshift/camshift的视频运动目标跟踪实现，通过鼠标手动选择跟踪目标。基于HSV空间模型，可手动调节H S V的阈值，显示前景、背景、反响投影图。开发工具是VS2008、OPENCV.-Based meanshift/camshift video moving target tracking achieved manually using the mouse to select the target track. HSV space model, you can manual
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高斯处理视频并跟踪运动做前景背景分割-Gauss processing video and tracking the movement to do the foreground background segmentation
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前景检测程序，MATLAB实现，有背景差分，帧差法，混合高斯模型，光流法。-Foreground detection procedures, MATLAB, background difference, frame difference method, the gaussian mixture model and optical flow method.
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动态目标跟踪，静态背景，前景背景动态目标提取(Dynamic object tracking, static background, foreground background, dynamic object extraction)
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使用背景差分法实现一般视频的前景运动目标提取和检测。(The background difference method is used to realize the extraction and detection of the foreground moving target in the general video.)
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