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MRF-ICM 也是先聚类再算的 里面有论文
- 利用马尔科夫随机场对图像进行语义分割，通过ICm求解参数，可以运行，对初学者有较好的借鉴作用(Using Markov random field to semantic segmentation of images, through ICm solution parameters, can run, for beginners have a good reference)
no-cjver
- Augmented Lagrangian Algorithms 求解非线性最化的局部最优解(Augmented Lagrangian Algorithms to solve the nonlinear local optimal solution)
219188
- Acquisition and Processing of the speech signal, digital signal processing class-based, Numerical solution of differential equations method, Use Chaos and fractal analysis routines.
shuzituxiangmatlabshixianyuandaima
- 可以对数字的图像进行相应的图像处理，而且这里有相应的数字图像的处理代码，对于解决数字图像的处理是有一定的好处的。(Digital images can be carried out the corresponding image processing, but also here has the corresponding digital image processing code, for the solution of digital image processing is a certai
faitie-V7.5
- Add noise processing, Pattern Recognition bayes discriminant analysis algorithm, Interpolation and fitting, solution of equations, data analysis.
deblur_saturation_v0.1.tar
- 图像去模糊问题是一个典型的反问题。受制于反问题的内在约束，在其庞 大的解空间中寻找真解或者符合视觉习惯的解都非常困难。再加上观测过程中 引入的噪声，更是制约解的质量。 针对图像去模糊的反问题特性，从模型上来看，已有的方法主要集中在两 个大的方向：1）寻求更恰当的图像先验知识来构造更精确的先验模型。这些 先验经历了从光滑性、分片光滑性、梯度稀疏性等诸多特性的演变，在图像的 盲目和非盲目复原方法中都广泛应用。2）根据对观测噪声的分析设计更合理 的保真项。(The image deblurring p
fxwgn
- Can dynamically adjust the parameters of the operating environment, Interpolation and fitting, solution of equations, data analysis, Extract important parameters.
l1magic-1.1
- 对l1最小化的处理，其中包括全面的l1范数的解得算法，运用tv全变分最小的解决方法，适合于单像素以及图像处理的研究者参考。(L1 minimization, including the full L1 norm solution algorithm, the use of TV total variation, the smallest solution, suitable for single pixel and image processing researchers reference.)
nfuis
- Energy entropy calculation, Interpolation and fitting, solution of equations, data analysis, For lack of EMD.
pplane8
- 计算数学模型的解的趋势，并画出合适的平面相图，得到需要的平衡点等数据结果。(The tendency of the solution of a mathematical model)
TrafficDetection-master
- 一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. In particular, the system provides robust foreground segmentation of moving vehicles
mou-V7.1
- Sampling from a priori probability, calculate the weight, Based on matlab platform, Interpolation and fitting, solution of equations, data analysis.
ev203
- MinkowskiMethod algorithm, Interpolation and fitting, solution of equations, data analysis, Including the area, perimeter, rectangular, elongation.
基于LMS算法的自适应滤波器设计与实现
- 因LMS算法具有低计算复杂度、在平稳环境中的收敛性好、其均值无偏地收敛到wiener解和利用有限精度实现算法时的稳定性等特性，使LMS算法成为自适应算法中应用最广泛的算法。(Because LMS algorithm has low computational complexity, convergence in stable environments, the mean unbiased converges to the Wiener solution and the finite preci
jaoqingfie
- Automatic identification in the matlab environment the size of the connected area, ML estimation method can be a good signal to noise ratio, Interpolation and fitting, solution of equations, data analysis.
CmCode-master
- 很多显著性检测的算法，来自CMm的网站，包含matlab以及opencv；(This solution contains source code from Ming-Ming Cheng's research projects. Please refer to the project page for more source code and research data: http://mmcheng.net/ The source code is for educational a
分散递阶蚁群算法及其在相变序列图像分割中的应用
- 提出了一种分散、递阶蚁群算法, 它将多个分散的蚁群并行求解各自对应的子问题, 形成一个执行层, 而递阶协调层利用执行层反馈的信息协调执行层的优化过程,从而得到递阶求解问题的整体最优解. 该算法已应用于相变热图序列图像模糊相变线的提取问题,即运用区域划分方法先将序列图像的分割转化为关联型多子图搜索问题,再利用分散 、递阶蚁群算法进行求解 ,结果表明该算法能很好地利用相变线的运动信息成功地解决热相变序列图像分割问题. 与蚁群算法独立搜索比较 ,分散 、递阶蚁群算法能更有效地实现多子图之间的关联.(A
digital image
- 用matlab实现找茬功能，简单解决图片的不同(For finding fault with Matlab function, a simple solution in different images)
MATLAB标定试验
- MATLAB对于二维相机的矫正或者相机标定提供了完整的解决方案，用户再也不需要写复杂的MATLAB图像处理程序来计算相机的intrinsic和extrinsic参数。作为用户来说，你的任务只是使用标准的矫正模版（calibration template)来照相，然后把这些图片提供给MATLAB相机矫正工具即可。(MATLAB provides a complete solution for 2D camera calibration or camera calibration. Users no
基于蚁群算法的图像边缘检测
- 将改进蚁群算法应用于图像边缘检测，模拟进化算法,主要采用信息素来进行方向的选择,通过全局性的搜索得到较优解。(The improved ant colony algorithm is applied to image edge detection and simulation evolutionary algorithm, which mainly uses information prime to select the direction, and the better solution is