totalvariation

对图像进行处理，利用拉普拉斯锐化进行边缘检测。(The image is processed and the edge is detected by Laplasse sharpening.)

说明：  Arnold 变换与 Gray 码变换相融合的双置乱算法程序，包括了加密和解密程序(The program of double scrambling algorithm combining Arnold transform and gray code transform, including encryption and decryption program)

实现了Thien在他的文章《secret image sharing》中提出的（r，n）门限秘密图像分存方案。 (Thien in his article " secret image sharing" (r, n) Door Threshold Secret Image Sharing Scheme.)

求质心到图像轮廓边缘的距离，并将其用figure表示出来(The distance from the center of mass to the edge of the image contour)

sift算法引用于图像处理的一些常用程序(a reference to the image processing algorithms sift some common procedures)

《图像处理的偏微分方程方法》随书光盘完整版 本光碟中包含五个文件夹。 （1）视频剪辑：可供教学演示，其中， two_cells 是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程； denoissing 是利用P_M方程，对图像平滑去噪的演化过程 curve_linear_heat_flow 是利用FT实现的闭合曲线的线性热流演化过程。 （2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。 （3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。 （4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。 本光碟中的所有内容，仅供教学和研究参考。(" Image Processing Based on PDE" CD with the book contains the full version of the disc five folders. (1) Video clip: for teaching demonstration, which, " two_cells" is improved variational level set methods to achieve the evolution of GAC model image segmentation " denoissing" is the use of P_M equation, the evolution of image smoothing denoising process " curve_linear_heat_flow" is the use of a closed curve FT achieve a linear heat evolution. (2) binary image: one of the images for morphological image processing experiments, it can also be obtained by extracting the object boundary curve evolution for experimental use. (3) gray-scale images and color images: images which can be used as image segmentation, filtering, contrast enhancement, color enhancement and image amplification test material. (4) MATLAB Program: which includes more than 10 or MATLAB program (function) of the source code. Comments made in the program, and a description of the boo)

图像延拓 求极大值极小值图像 并找到极值点所在的位置(Image continuation for maximum minimum image and find extreme value point s location)

说明：  利用非局部均值的算法对图像做去噪，速度比较快，但效果一般，存在一定局限性(Using non-local mean algorithm to denoise image is faster, but the effect is general and there are some limitations.)

本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档(toolbox is a collection of Matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods)

SIFT 算法的实质上是提取局部特征的算法, 该算法在尺度空间寻找极值点, 然后根据极值点来获得尺度、旋转不变量和位置等特征。(In essence, the SIFT algorithm is an algorithm to extract local features. The algorithm finds the extreme points in the scale space and then obtains the characteristics of scale, rotation invariant and position according to the extreme point.)