codes

一种在二维、三维数据中利用Canny算子检测边缘的边缘检测器(A Canny edge detector for two-dimensional image and three-dimensional volume data.)

对形图像的经过边缘提取后得到的二值图像边缘进行细化，提取单像素的边缘，使得边缘是成为清楚的单像素的边缘。(After images of the shape after the edge extraction of the binary image to refine the edge, the edge extraction of a single pixel, making the edge is to be clear of the edge of a single pixel.)

图像加密算法本文讨论了基于现代密码体制的图像加密、基于矩阵变换的图像加密、基于混沌的图像加密、基于秘密分存的图像加密、基于频域的图像加密、基于ＳＣＡＮ 语言的图像加密和基于 ＤＮＡ 计算的图像加密等主流图像加密算法的加密原理、优缺点和最新进展(This paper discusses image encryption algorithm based on modern cryptography, image encryption based on matrix transform, image encryption based on chaotic image encryption based on secret sharing based on frequency domain image encryption, image encryption, image encryption based on SCAN language and DNA based on the calculation of image encryption and other mainstream image encryption algorithm, encryption principle the advantages and disadvantages and the latest progress)

MIMO2by2_16QAM_SoIC+Turbo迭代检测simulink链路,不错的(Simulink link MIMO2by2_16QAM_SoIC + Turbo iterative detection, good)

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)

采用Harris原理提取角点，并将角点坐标写入txt文档以便后续处理，附处理前后图片(Principle extracted using Harris corner, corner point coordinates and write txt document for subsequent processing, with before and after pictures)

马尔可夫（MRF）图像分割MATLAB源码,有30几个函数。Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象(Markov (MRF) image segmentation MATLAB source code, 30 a number of functions. Markov random field example of the procedure, for beginner person MRF useful that they can get a visual impression)

图像降噪、贝叶斯估计、盲源降噪,采用盲源方法进行噪声估计，再进行贝叶斯非局部均值降噪(Image denoising, Bias estimation and blind source noise，The blind source method for noise estimation, then the Bayes non local mean noise reduction)

MATLAB去雾算法程序，内附去雾图片，完全可以运行。(MATLAB fog removal algorithm program, attached to the fog picture, can run.)

数字图像处理代码,包括二值化,平滑,边缘检测等(Digital image processing code, including the binarization, smoothing, edge detection and so on)