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otsu-method
- 两次利用大津法对图像进行分割，将前景与背景，白色区与背景分割开，并二值化。-Otsu method twice using image segmentation, the foreground and background, white background area and separate, and binary.
InteractiveImageSegmentationbasedonMergingRegion.r
- 基于区域融合的半监督的图像分割算法。首先在背景和前景手动设置初始分割标记，在迭代过程中不断通过区域融合操作获得最大相似度的区域，从而实现目标分割。-Regional integration based on semi-supervised image segmentation. First of all, in the background and foreground segmentation manually set the ini
MovingDetection
- 用Opencv实现的一个运动检测的程序。通过摄像头捕捉，把捕捉到的图像分为前景和背景，从而检测出运动图像。-Achieved with Opencv a motion detection process. Captured by the camera, the captured image are separated into foreground and background, to detect the moving image.
diedaifa
- 迭代法求阈值的原理： 基于逼近的思想，步骤如下： 1． 求出图象的最大灰度值和最小灰度值，分别记为ZMAX和ZMIN，令初始阈值T0=(ZMAX+ZMIN)/2； 2． 根据阈值TK将图象分割为前景和背景，分别求出两者的平均灰度值ZO和ZB 3． 求出新阈值TK+1=(ZO+ZB)/2； 4． 若TK=TK+1，则所得即为阈值；否则转2，迭代计算。 - Iteration method thresh
Snake
- 原始snake matlab 源碼，簡單版- seg = localized_seg(I,init_mask,max_its,rad,alpha,method) Inputs: I 2D image init_mask Initialization (1 = foreground, 0 = bg) max_its Number of iteratio
gehanggeliesaomiao
- 基于rgb颜色模型的隔行隔列扫描可用于判断背景和前景的区别大小-Rgb color model based on interlaced scanning can be separated out for the difference between background and foreground to judge the size of
WQ_matting_imerode
- 自己修改的基于closed-form的程序，对外国程序在时间上有两倍的改善，能对在复杂背景下的图片，通过画一些简单的前景线，背景线，抠图出前景-it is about matting foreground when the interested ared is located under complixed background,and then choosing some other beautiful background,you
CodeBookBackground
- Real-time foreground–background segmentation using codebook mode-Real-time foreground-background segmentation using codebook mode
Harris
- 研究一种红外医学图像处理与分析方法,实现红外人脸图像中特征区域的自动定位。方法 针对红外正面脸部图像,采用一种无监督的局部和全局的特征提取方法,首先通过阈值法区分出前景和 背景,并根据面部特征对称性在前景中确定鼻区 然后在面部确定一个包含所有特征的矩形区域,利用 Harris算子在该区域检测出角点,并找出这些点的局部最大值点 最后用K-means方法对这些点进行 聚类 -To develop an mi age an
Low-complexity-background-subtraction-using-frame
- Tracking w/ blob detection, morphological operation (Togeather) fr a mes = {avi.cdata} uses the cdata from the video file fg = extractForeground(fr a mes) do foreground extraction cmap = colormap(gray) for
BackgroundSubtractionReview-Piccardi
- given a fr a me sequence from a fixed camera, detecting all the foreground objects : the detection of the foreground objects is obtained by the difference between the current fr a me and an image of the scene’s static
GauMM_
- A better version of guassian mixture model for background subtraction and foreground detection, using matlab and c language to implement it.
Binaryzation
- 迭代法是基于逼近的思想，逼近的目标是使得：前景和背景的平均灰度值的平均值即为阈值。该方法的原理是：如果用某一阈值分割出的图像，其两部分平均值的中值，正好等于该阈值，那么这个阈值就是所求的阈值。-Iterative method is based on the approximation of the idea of approaching the goal is to make: the foreground
foreground-object-detection
- 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
Extracting-the-Foreground-
- 基于opencv，对视频中的前景进行提取-Extracting the Foreground Objects in Video
Foreground-detection-procedures
- 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, fr a me difference method, the gaussian mixture model and optical flow method.
foreground-and-background
- 通过控制台环境实现前台线程和后台线程的实现处理过程的事例-Case Achieved processing foreground and background thread threads through the console environment
Foreground-detection
- 使用vs2013结合opencv实现wavingtree的动态前景检测功能的代码-Using vs2013 combine opencv achieve wavingtree dynamic foreground detection function code
Zibe
- Foreground extraction,Vibe Foreground extraction,Matlab code,
Frame difference-based foreground extraction
- 基于帧差分法的视频前景提取，在matlab环境中运行，速度快，静态背景下效果好(Video foreground extraction based on fr a me difference method)