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这是一个基于非参数模型的背景减运动目标分割算法的VC++程序，自己编写的，上传与大家分享。-This is a non - parametric model based on the background by moving object segmentation algorithm VC procedures, the preparation of their own. Upload share with you.
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基于形变模型的肺部病灶区域分割与检测方法研究-Deformable model-based segmentation of the lung lesions and detection of
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可以检测图像中圆和直线的信息，有利于初学者使用学习。-Edge detection has played an important role in the field of computer vision. A parametric edge detection method based on recursive mean-separate image decomposition is introduced. A method for automatic parameter selection
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从直线的Cohen-Sutherland、中点分割和参数化裁剪算法中，任选一种，编程实现；
2.编程实现Bezier曲线分割递推de Casteljau算法。
3.任选一种曲面，并编程实现
-From the line of Cohen-Sutherland, the midpoint of segmentation and parametric clipping algorithm, Choose one, programming 2. Programming Recursive
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This readme describes the Biased and Filtered Point Sampling algorithm.
Before running the code, please run "compile_MEX.m" in the "dependent_files" directory.
BFPS.m is the main file that draws samples. A demo can be run from Matlab with t
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CVPR2012_oral
Weakly Supervised Structured Output Learning for Semantic Segmentation-We address the problem of weakly supervised semantic
segmentation. The training images are labeled only by the
classes they contain, not by their location in t
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this is the first variational image segmentation algorithm that involves region-dependent multi-dimensional descr iptors based on the optimal transport theory. The distributions are represented owing to non-parametric kernel density estimators(In thi
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