gaussiannoiseppt

数字图像处理中图像的增强方便的源代码，包括图像灰度修正，图像的平滑，中值滤波，图像的锐化，伪彩色和假彩色的增强等(Digital image processing image enhancement convenient source code, including the gray correction, image smoothing, median filtering, image sharpening, pseudo-color and false color enhancement, etc.)

利用CFAR检测SAR图像中的高亮度目标。(Detect targets with high backscattering intensities by CFAR algorithm)

说明：  基于非下采样contourlet变换的多视点视频图像融合的MATLAB源码，可以成功运行(Nonsubsampled based multi-view video contourlet Transform MATLAB source image fusion can be run successfully)

经过二维混沌序列构成的相位板的双随机相位系统再经过菲涅尔变换后得到的加密解密(Encryption and decryption after Fresnel transformation of the double-random phase system of a phase plate composed of two-dimensional chaotic sequence)

使用马尔可夫随机场进行图像分割，包括标记场、特征场建模和参数估计等，程序可运行。(image segmentation Using Markov random field , including label Field, features field modeling and parameter estimation, the program can run.)

说明：  实现简单的梯度算法，这是一个函数文件。调用函数的主程序文件以及实验用的lena图都一并上传了，使用简单，快捷。注：该程序可以直接处理彩色图像。(Implementation of simple gradient algorithm, this is a function file. The main program file of calling function and Lena diagram for experiment are uploaded together. It is easy and fast to use. Note: This program can process color image directly.)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

蔡远利，西安交大，随机滤波与最优估计，非线性滤波，卡尔曼滤波，最小方差估计(optimal estimation)

褶积模型正演模拟，非常好用，非常好用，非常好用！(Forward simulation of convolution model ,very good!)

opencv,图像处理，关于物体粘连问题的检测，基于凹性分析的分割方法(opencv, image processing, object sticking problem on detection, segmentation method based on analysis of the recess)