TUXIANJIAMI

模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序(One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clustering procedure)

图像质量评价，熵、平均梯度、边缘强度、方差等(Image quality evaluation, entropy, average gradient, edge strength, variance, etc.)

说明：  可以将txt文件中的某一列数据进行提取出来，然后进行图像制图(You can extract a column of data from the txt file and then do image mapping)

我自己写的运动图像模糊及恢复，可以使标准图像模糊后再恢复，希望大家多执教，程序绝对可以运行(I wrote it myself sporting image blurring and recovery that allows standard image blurred and then recovery, hope that more coaching, the program can run absolutely)

简单图像压缩处理，正交变化，图像压缩灰度变化(Simple Image Compression Processing, Orthogonal Change, Gray Level Change of Image Compression)

图像增强的C++源程序，效果非常好，彩图ok(Image enhancement of the C++ source code, the effect is very good, Wallpapers ok)

傅里叶时域频域变换图形处理S参数在时域的应用(Fourier time domain frequency domain transform graphics processing S-parameters in the application of the time-domain)

figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds。 Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c. (figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds. Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c.)

实现基于颜色的Kmeans图像分割，只是需要自己设定聚类中心数目，聚类中心初始化采用Kmeans++(Kmeans image segmentation based on color, but need to set the number of cluster centers, clustering center initialization using Kmeans++)

说明：  极化SAR图像的去噪和分解，Lee滤波和精致Lee滤波，Freeman分解·和·H/A分解(Denoising and decomposition of polarimetric SAR image)