搜索资源列表
MultivariateGaussianMixtureModelOptimizationbyCros
- Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
Image.rar
- matlab 关于二值图像熵和交叉熵的计算程序,这一程序与结合其它方法对图像进行分割,作为一个判断标准.,matlab on the binary image entropy and cross entropy calculation procedure, which in combination with other methods and image segmentation, as a criterion.
image_fusion_proforma_evalu_quality
- 这是从网上整理出来的图像融合评价标准，总共有13项性能指标。包括平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 perform
otsu2
- 大津阈值分割法，也称最大类间方差法，利用图像的灰度分布密度函数定义图像的交叉熵。 交叉熵可看作是两个概率系统（即图像背景及目标）的信息量之间的差异。求出的交叉熵越大，则分割效果越好。 -Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
Cross-Entropy
- 交叉熵实现多元高斯混合模型优化的源代码，供大家学习使用-Realize cross-entropy optimization of multi-Gaussian mixture model of the source code for the U.S. study the use of
MinimumCrossEntropyThreshold
- 最小交叉熵图像分割源代码（原创）.相关参考文献见源代码。-source code for the minimum cross-entropy thresholding algorithm
Image
- 求图像的熵以及两幅图像间的交叉熵，自己验证可以使用，放心下载！-Entropy, as well as for the image between two images of the cross-entropy, can be used to verify their own, rest assured that download!
shilianglianghuafenlei
- 提出一种利用最小交叉熵优化方法的矢量量化分类算法， 将矢量的分类问题转化为最小失真函数估计问题，通过关联随机迭代算法逼近最优值，以更好的减小量化误差。-A minimum cross-entropy optimization of the use of methods of classification of vector quantization algorithm, the classification of the vector into the issue of minimum-dist
TSP_CrossEntropy
- traveling salesperson problem cross entropy
crossentropy
- for cross entropy implementation
cecontinuous
- cross entropy for function minimization
entropia_en
- Iterative algorithm for minimum cross entropy thresholding
coding_flowshop
- this is matlab file for permutation flowshop problem with cross entropy
cross-Entropy
- The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where
DATA-ASSOCIATION-BASED-CE-METHODS
- 基于cross entropy最优方法对phd跟踪结果进行目标关联-Based on cross entropy method for phd optimal target tracking results associated
exponential-cross-entropy
- 图像分割-指数型交叉熵阈值分割。针对各类图像都有好的分割效果-Image segmentation- exponential cross entropy threshold segmentation. It has good segmentation effect for all kinds of images.
000-entropy-matching
- 基于图像的局部交叉熵进行目标跟踪，适用于跟踪弱小目标-Target tracking based on local cross-entropy image for tracking small target
ssim-entropy
- ssim,边缘检测，交叉熵，相关系数，信息熵，边缘保存系数-ssim, edge detection, cross entropy, correlation coefficient, entropy, edge preservation coefficient
新建 ZIP 压缩文件
- 是对交叉熵的一个MATLAB程序。其中有详细的源代码。希望可以帮助大家(This is a source program for cross entropy, which i hope can help you.)
cross-sample entropy
- 一种复杂性测度，用来计算两个信号之间的交叉样本熵。(A kind of complexity measure to calculate the entropy of cross sample)