segmentation

说明：  K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

此程序为泽尼克的方法拟合离散点的数据，用于图像处理。(Zernike parameter fitting)

对李纯明的DRLSE进行了改进 利用各向异性扩散提高了分割弱边缘的能力 改进的高斯滤波代替惩罚项 加快了演化速度 节省了时间(The DRLSE to LiChunMing improved using anisotropic diffusion improve the segmentation of improvement of the ability weak edge gaussian filtering instead of penalty term accelerated evolution speed save time)

利用ADMM和小波进行图像恢复 使用ADMM算法的图像恢复模型，并用到了增广拉格朗日函数和快速傅里叶函数(Using ADMM and wavelet to restore image, using ADMM algorithm to restore image model, and using augmented Lagrange function and fast Fourier function.)

遥感数字图像处理基础 遥感数字图像处理基础(yao gan shu zi tu xiang chu li ji chu)

量化离散余弦变换系数的程序实现及其效果的检测。过程中使用了8x8的分块方法。首先计算每块的离散余弦变换（DCT)；然后量化了DCT的系数； 最后进行了反离散余弦变换(iDCT). 程序中还可以设定缩放系数。(Quantify the discrete cosine transform coefficients procedure and its effect detection. The process used in the 8x8 sub-block method. First calculate the block discrete cosine transform (DCT), quantization of the DCT coefficient Finally, the inverse discrete cosine transform (iDCT) program can also set the scaling factor.)

说明：  根据一幅杂草和作物混合的图像可以识别出图像中的杂草(Weeds in the image can be identified according to a mixed image of weeds and crops)

PSNR图象质量评价模型，PSNR图象质量评价模型方法(Image quality evaluation model PSNR, PSNR method of image quality evaluation model)

一种效果比较好的高光谱解混算法，模拟数据以及真实数据的实验都在，直接可以跑。(An effect good hyperspectral unmixing algorithm, experimental simulation data and real data are in, you can directly run.)

双数复小波变换及其图像去噪算法。。。。。(Double the number of complex wavelet transform and image denoising algorithm. . . .)