搜索资源列表
NcutImage_7_AMD64
- Normalized cut code in matlab -Normalized cut code in Matlab
erzhitufenge
- 提出了一种新颖的处理图像视觉聚类问题的方法。与以往关注图像局部特征和局部连续性的方法不同，本文中的方法能够提取关于图像的全局印象。为此，我们将图像分割问题转化为图划分问题并提出了划分中的一种全局判别准则——Ncut (Normalized Cut)。Ncut不仅能够衡量不同聚类之间的相异程度，还能够衡量各聚类内部的相似程度。为求解Ncut 的最优化问题，提出了一种基于广义特征值问题的高效算法，并将此算法应用于静态图像分割，取得了良好的效
Dominantset
- 一种 较新的聚类算法 Dominant-set 的代码，包括聚类算法的代码和测试代码。该算法最大特点 就是基于图理论的 ，相对于Normalized Cut,计算复杂度低很多，况且能自动决定类的个数 -A relatively new clustering algorithm Dominant-set the code, including the clustering algorithm code and test code. Mos
MATLAB
- Normalized Cut Image Segmentation Code -Normalized Cut Image Segmentation Code
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- Normalized Cut Image Segmentation Code
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- Normalized Cut Image Segmentation Code
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- Normalized Cut Image Segmentation Code
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- Normalized Cut Image Segmentation Code
RealTimeNormalizedCrossCorrelationAlgorithm
- Normalized Cross Correlation (NCC) algorithm is robust, but it has poor real-time performance due to its large amount of computation.
nlms
- 归一化最小均方（LMS）自适应数字滤波，带测试主程序。-Normalized least mean square (LMS) adaptive digital filter with the test main program.
NcutClustering_7
- Data Clustering with Normalized Cuts
NormalizedCutClustering
- 进行normalized cut算法的图像分割-Normalized cut algorithm for image segmentation
mutual
- The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be align
ncc
- The normalized cross correlation (NCC) implemented in C++ and Matlab
nlms
- This file include the normalized LMS algorithm and subband LMS algorithm. all of them are in m.file This file can be used to echo noise cancellation, and active noise control
zncc
- ZNCC Normalized cross correlation m = zncc(w1, w2) Compute the zero-mean normalized cross-correlation between the two equally sized image patches w1 and w2. Result is in the range -1 to 1, with 1 indicatin
mbpp
- matlab 归一化相关系数，可用于模板匹配-matlab normalized correlation coefficient
normxcorr2_mex_ALL
- 归一化互相关高速计算模块OpenCV工程,Daniel Eaton已将其生成Matlat Mex文件,比Matlab内建的normxcorr2()效率要高-Normalized cross-correlation of high-speed calculation module, Daniel Eaton have been wrapped the C++ code from OpenCV project and making it a
FDNLMS
- Frequency Domain Normalized LMS algorithm
normalized
- 关于神经网络（matlab）归一化的见解-On Neural Networks (matlab) normalized view