diskreet.m

说明：  完成基于各向异性的自适应超声图像去噪和边缘增强方法，参考Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf，加入了m参数(The completion of ultrasound-based adaptive anisotropic image denoising and edge enhancement method, reference Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf, joined the m parameters)

用双线性插值法实现的图像缩放，内有详细的使用说明。非常好用(Bilinear interpolation method used to achieve the image scaling, which has detailed instructions. Very easy to use)

Matlab源程序代码，著名的PSO程式代码，用于拟合超二次曲线，曲面的代码，适用于粒子系统。呵呵，与大家一起分享受(Matlab source code, the famous PSO program code for the quadratic curve-fitting, Surface code applicable to the particle system. Oh, and that they have enjoyed.)

使用多信息融合，检测驾驶员是否是疲劳状态，(Using the multi-information fusion to detect whether the driver is fatigue,)

NSCT的分解与重构，用于图像处理，里面为非下采样轮廓波的工具箱(NSCT decomposition and reconstruction for image processing, which is a toolkit for subsampled contourlet)

本程序是运用脉冲耦合神经网络（PCNN）算法进行图像分割的一个实例。基于PCNN的图像分割是一种图像像素相似度临近相似性的图像分割方法，已被广泛应用于图像平滑，分割及边缘检测等图像处理领域。(This program is an instance of the algorithm for image segmentation using pulse coupled neural network (PCNN). PCNN-based segmentation of an image pixel similarity near the the similarity image segmentation method has been widely used in image smoothing, segmentation and edge detection image processing applications.)

令x(n)=5exp(j*0.15*n*n)+6exp(j*300n-j*0.15*n*n) ，w(n)为高斯窗函数。试用matlab软件，取不同长度的窗函数，分别求x(n)离散短时傅里叶变换，并进行信号重构。(ORDER x (n) = 5exp (j* 0.15* n* n)+6exp (j* 300n-j* 0.15* n* n), w (n) for the Gaussian window function. Trial Matlab software, take different lengths of the window function x (n), respectively, seek to discrete short-time Fourier transform, and to reconstruct the signal.)

给定一幅图像，输出其直方图。给定一个线性变换函数(可以输入不同的参数)，实现图像的灰度拉伸；实现对图像的均衡化。 实验测试图像：任意 (histogram；Gray stretch；Image equalization)

DPCM 图像的线性预测编码 有完整的运行界面使用简单(DPCM image of linear predictive coding to run a complete easy to use interface)

基于最小相位雷克子波反褶积的matlab程序，有脉冲反褶积，最小平方反褶积和预测反褶积(Matlab program based on the the Leike Zi wave pulse deconvolution)