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segmeeeeeeeeeeeeeee.tar
- A general technique for the recovery of signi cant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (includi
youzhushi_ms
- 实现mean shift 均值漂移的基本的MATLAB算法 带有部分注释-Mean shift to achieve the basic mean shift algorithm with some of the MATLAB Notes
MeanShiftCluster
- 使用mean-shift(均值漂移)，进行聚类-matlab-Mean-Shift-Cluster using matlab
meanshiftSmoothing
- 主要应用Matlab实现均值漂移算法在图像平滑中应用-Application of Matlab to achieve the major shift algorithm applied in image smoothing
mean_shift
- 均值漂移的实验环境，可实现边缘检测和影像分割。包含可执行文件和功能说明。-the tool can help designer realize the segmentation by using method of mean_shift.
mMS__matlaabe
- mean shift 均值漂移算法的的matlab实现，大家能看看，比较实用 -mean shift algorithm matlab mean-shiftt realize, we can look at more practical
FAST-mean-shift
- 自己编写的一种快速均值漂移聚类算法。数据需要自己下载，里面有main函数,改成自己的数据就可以运行。主要思路是先用近邻规则粗分类，在运行均值漂移。-fast mean shif clustering algorithm.
rgb_meanshift
- matlab均值漂移算法源码，在matlab中可以实现任何avi视频中内容的跟踪-Mean Shift Object Tracking Code
mean-shift-code
- 很好的关于均值漂移的代码，对于深刻理解均值漂移的滤波算法很有帮助。-The code on the mean shift, for a deep understanding of mean shift filtering algorithm helpful.
track
- 图像追踪的matlab代码，通过均值漂移和更新权重实现实时的物体追踪，交互式，在第一幅图上标出要追踪的范围，即可进行追踪-failed to translate
msTracker1
- 均值漂移跟踪算法的修改程序，包括源代码和调用程序。-Mean Shift tracking algorithm to modify the program, including source code and the calling program.
MEANSHIFT
- meanshift（均值漂移）的matlab代码-the matlab code of meanshift
Meanshift
- Meanshift均值漂移算法，图像中的物体进行跟踪定位。(Meanshift mean shift algorithm, tracking and positioning objects in the image.)
junzhi
- 能够分割图像，得到想要的目标。，达到比较理想的实验效果。(Able to segment images and get desired targets. To achieve an ideal experimental effect.)
目标跟踪
- 通过手动框选目标区域，然后进行自动跟踪，使用的算法是Camshift，自适应均值漂移(By manually selecting the target area, then automatic tracking, using the algorithm is Camshift, adaptive mean shift)
meanShift
- 视频目标跟踪算法代码meanShift,基于均值漂移的目标跟踪算法代码(Video object tracking algorithm code meanShift)