搜索资源列表
K-mean聚类的原理和MapReduce实现
- K-mean聚类的原理和MapReduce实现
filter
- median filter alpha-trimmed mean filter adaptive,local noise reduction filter
K-MEANS
- 基于K-MEAN的图像分割,方便实用，对于图像处理的研究生很有参考价值的-watershed segmentation on matlab
8WhMeanShift
- mean shift 用于图像的分割与平滑。很实用，老外写的，大家多看看会有帮助的～！-for mean shift image segmentation and smoothing. Very useful, written by a foreigner, it would be helpful to look at the ~!
camshiftdemo
- Gary R．Bradski提出CamShift算法，即"Continuously Adaptive Mean-Shift"算法。是以颜色直方图为目标模式的目标跟踪算法，可以有效地解决目标变形和部分遮挡的问题，而且运算效率很高。在视频跟踪过程中，CAMSHIFT算法利用选定目标的颜色直方图模型得到每帧图像的颜色投影图，并根据上一帧跟踪的结果自适应调整搜索窗口的位置和大小，得到当前帧中目标的尺寸和质心位置。-Gary R. Bradski CamShift proposed algorithm,
mean滤波
- 均值滤波实现-Mean filter to achieve
LMSFilterMatlab
- 此程序可实现基于LMS（最小均方误差算法）的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process
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
meanshift
- 详细讲解了Mean-shift的核心思想.可用于图像分割,运动目标检测
dd
- 文中给出了数据融合算法，并提出把数据融合方法应用于火电机组的在线性能计算中，使计算结果能更完善、准确地反映机组的运行状况。这种数据融合方法计算简便，可以反映传感器在空间或时间上的冗余或互补的信息，获得比有限个传感器的算术平均值更准确的测量结果，具有较高的可靠性，实际应用结果证实了该算法的准确性，可推广到其它具有正态分布特性测量结果的数据融合。-Paper gives the data fusion algorithms, and to make the data fusion method is
NL_Mean
- nonlocal mean filter
Meanshift
- 利用Mean-shift进行目标的跟踪。-Mean-shift use for target tracking.
mean_shift
- 关于mean shift算法在目标跟踪方面的应用，讲述了mean shift算法的基本原理，和跟踪方法-On the mean shift algorithm in the application of target tracking, mean shift algorithm describes the basic principles, and the tracking method
fams
- Mean Shif t 算法是一种有效的统计迭代算,法,它使每一个点“漂移”到密度函数的局部极大值点。近些年来,Mean Shif t 算法已广泛应用于计算机视觉领域 。-Mean Shif t algorithm is an effective statistical iteration count, France, and it makes every point
K-means
- 模式识别 k-mean算法程序，用Visual c++编写-K-mean algorithm for pattern recognition procedures, using Visual c++ Prepared
toolbox_nlmeans
- 实现非局部平均去噪算法（non local mean）-The realization of non-local denoising algorithm on average (non local mean)
Video_detection
- 视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Algorithm for video presentation include: 1. Static background background prediction target detection 2.
MeanShiftcode
- mean shift 算法用于目标跟踪,其中有4个文件.-mean shift algorithm for target tracking, including four documents.
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
FuzzyMathGraph
- 模糊数学的小工具 有点意思 还算可以 不过比较简陋-Fuzzy Math gadget can be a bit mean but still relatively simple