diffraction

精心收集的几个去噪算法，包括基于视觉的非线性去噪、BLS_GSM算法、NL-Bayes图像去噪、KSVD去噪等，内容为核心代码，需要配置完善。 (Denoising algorithm of several carefully collected, including visual based nonlinear denoising, BLS_GSM algorithm, NL-Bayes image denoising, KSVD denoising, the content as the core code, the need to improve the allocation of. )

利用最大类间方差算法求取自动阈值，实现图像分割(Using the maximum inter class variance algorithm for automatic threshold, image segmentation)

数字图像处理用到的标准测试图像，很多图片。(IMP test images。)

集运小波变换的图像去噪，本文采用的是一种改进了的软阈值法去噪，去噪效果更好(Image Denoising Based on Wavelet changing)

未来线路预测,分析误差,粒子图像分割及匹配均为自行编制的子例程，能量谱分析计算。( Future line prediction, error analysis, Particle image segmentation and matching subroutines themselves are prepared, Energy spectrum analysis and calculation.)

通过使用块匹配法实现运动矢量的检测，块大小和搜索区域大小可自定(Achieved through the use of block matching motion vector detection, block size and search area size can be customized)

说明：  两种基于非下采样变换图像去噪方法，效果比contourlet变换要好(Two transform based image denoising nonsubsampled method, the effect is better than contourlet transform)

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

分别用kmeans、fcm、kfcm实现图像分割(use kmeans, fcm and kfcm segment image)

susan角点检测算法的MATLAB程序实现(susan corner detection algorithm for implementation of the MATLAB program)