cyclostationary_toolbox

用wpf实现一个简单的手滑切换图片的实例

用matlab实现了图像通信中的全搜索算法与三步搜索算法这两种运动估值算法，给出了运动矢量图，对两种方法的计算复杂度和搜索性能进行了客观的比较。(Matlab image communication achieved by the full search algorithm in the three-step search algorithm with the two motion estimation algorithms, given the movement vector, the computational complexity of both methods and the search performance of objective comparison.)

利用霍夫变换进行椭圆检测，无需模板，不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)

运动估计的几种方法，包括线性预测法、混合高斯法、特征值法和相邻帧差法等(Several motion estimation methods, including linear prediction method, mixed-Gaussian law, Eigenvalue and adjacent frames, such as poor law)

实现非负ICA的盲源分离，可用于对图像等非负混合信号的分离(Non-negative ICA blind source separation, can be used for the separation of mixed-signal images and other non-negative)

使用K-means聚类算法的改进算法K-means++对图像区域进行分割。(using the improved algorithm K-means++ segment image.)

包括计算共生矩阵、对共生矩阵归一化、对共生矩阵计算能量、熵、惯性矩、相关4个纹理参数、求能量、熵、惯性矩、相关的均值和标准差作为最终8维纹理特征 (Including the calculation of co-occurrence matrix, normalized to the co-occurrence matrix, co-occurrence matrix calculation on the energy, entropy, moment of inertia, related to four texture parameters, find the energy, entropy, moment of inertia, related to the mean and standard deviation as the final eight-dimensional texture feature)

基于灰度和matlab编写的图像匹配源代码，运行效果不错(Prepared based on the gray and the image matching matlab source code, run the effect of good)

关于图像分割、区域分离和合并的matlab程序(On image segmentation, region separation and merger procedures matlab)

该matlab源码描述了基于局部受限线性编码的图像分类算法(This is an example code for the algorithm described in "Locality-constrained Linear Coding for Image Classification", CVPR 2010. )