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自己用matlab语言编写的基于双线性插值的图像旋转程序(I have written based on the bilinear interpolation of the image rotation process)

一款新的数据分析工具，非常简单易用，用在系统辩识中(A new data analysis tools, very easy to use, used in System Identification)

说明：  该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。(The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.)

说明：  基于matlab的简易小波阈值去噪，小波变换基础上变换阈值实现对图像的去噪(Matlab based on the simple wavelet transform, simple image denoising)

利用BCB编程，实现JPEG图像选择加载功能，并在TChart控件上显示图像的灰度直方图(The use of the BCB programming, loaded JPEG image selection and image histogram on in TChart controls)

python实现的三维空间维罗尼图算法演示。(3d voronoi use python)

提供了基于POCS算法的超分辨率图像重建的源程序，效果较好(POCS algorithm based on super resolution image reconstruction of the source, the effect is good)

Mean shift and other image segmentation algorithms.

本程序实现图像LENA的压缩传感 程序作者：沙威，香港大学电气电子工程学系，wsha@eee.hku.hk(The procedure of image compression sensing process by LENA: Javert, University of Hong Kong Electrical and Electronic Engineering, wsha@eee.hku.hk)

（1）计算图像中每个像素点的LBP模式(等价模式,或者旋转不变+等价模式)。 （2）然后计算每个cell的LBP特征值直方图，然后对该直方图进行归一化处理(每个cell中，对于每个bin,h[i]/=sum,sum就是一副图像中所有等价类的个数)。 （3）最后将得到的每个cell的统计直方图进行连接成为一个特征向量，也就是整幅图的LBP纹理特征向量； 然后便可利用SVM或者其他机器学习算法进行分类识别了。((1) calculate the LBP pattern of each pixel in the image (equivalent mode, or rotation invariant + equivalent mode). (2) then the LBP eigenvalue histogram of each cell is calculated, and then the histogram is normalized (for each cell, for each bin, h[i]/=sum, sum is the number of all the equivalent classes in a pair of images). (3) finally, the statistical histogram of each cell is connected into a feature vector, that is, the LBP texture feature vector of the whole picture. Then, SVM or other machine learning algorithms can be used for classification and recognition.)