markov.m

visualc++6.0 实现图像中圆的检测(circle detection)

此代码是通过matlab实现图像的平滑与分割！(This code complete a image smooth and segmentation！)

包含了21篇二维最大类间方差（Otsu）阈值分割方法的论文，(Contains 21 article 2 d between the most kinds of variance (Otsu) threshold segmentation method papers)

说明：  多种边缘检测算子对比 不需要改动 有sobel prewittts canny log(Multiple edge detection operators)

说明：  Jsteg_Mu可批量对JPEG图像进行Jsteg隐写。 Jpeg_Or 为jpeg密写的原始图像的文件夹， Jpeg_Di 为jpeg密写后密写了的图像的文件夹,code_file 为密写的文件,rate 为密写嵌入率.(Jsteg_Mu JPEG images can be batch Jsteg on steganography. Jpeg_Or jpeg steganography for the original image folder, Jpeg_Di as jpeg steganography written after the close of the images folder, code_file written document for the dense, rate for the steganography embedding rate.)

本代码主要是基于HSV的阴影检测及消除，分别提取前景及背景图像，进行色彩空间转换。HSV空间类似人类感觉色彩的方式，可以更加准确地识别阴影，并保持在计算上简单。(This code is mainly based on the HSV shadow detection and elimination, extract the foreground and the background image, respectively, for color space conversion. HSV space is similar to the ways the human feel color, can more accurately identify the shadow, and keep it simple in calculation. )

包含基于三种不同方法的应用于图像处理的矩阵低秩分解的matlab算法，可以将目标图像分解为一个低秩图像和一个稀疏图像之和；并包含一种基于区域生长方法的图像区域识别程序，可以用来提取图像中的目标。(Containing used in image processing based on three different methods of low-rank matrix decomposition algorithm matlab, the target image can be decomposed into a low rank of the image and the image and a sparse and contains a region growing method based on image area recognition program It can be used to extract the object in the image.)

运用Soble,,Roberts算子,Prewitt算子,Log算子,Canny算子j进行边缘检测 (Using Sobel ,, Roberts operator, Prewitt operator, Log operator, Canny edge detection operator )

多媒体图形图像正交变换语言是VC++,源码正交变换(Multimedia graphic image orthogonal transform language is VC++ source orthogonal transformation)

说明：  一种实现超分辨率图像处理的新算法,本算法在综合前人算法的基础上，做了很大改进。很适合图像处理。(An implementation of the new super-resolution image processing algorithms, the algorithm in integrated algorithm based on the predecessors has done a lot of improvements. Very suitable for image processing.)