pivsingle

根据曲率求图像分割的方法，可以在matlab下运行。(According to the curvature of the methods for image segmentation, you can run.)

实现窗口的显示以百叶窗的形式出现的精美程序(To achieve the display window to the blinds in the form of fine program)

基于DPCA算法的动目标检测，非常实用，希望对你有帮助(DPCA-based moving target detection algorithm is very useful and would like to help you)

本例程通过matlab编写，显示一个GUI。在GUI中将输入到程序中的数据进行绘图。本例程能够实时进行绘图，并且可以将数据进行显示。同时还可以将输入到程序中的数据进行保存。在GUI中设置有控制开关，能够通过点击开关，将数据保存在不同的文本中便于后续处理使用。(This routine is written by matlab and displays a GUI. The data input into the program is drawn in the GUI. This routine can be plotted in real time and data can be displayed. At the same time, the data input into the program can also be saved. A control switch is set in the GUI, and the data can be saved in different texts by clicking the switch to facilitate subsequent processing.)

说明：  用来对数字全息图进行自动对焦，找到逼近真实焦距的焦距值来进行重建(a kind of criterion for automatic refocusing in DH)

说明：  实现图像处理中的白平衡调节问题， 可以帮助得到白平衡后的图像,内有帮助文档和实例图像(To achieve the white balance adjusted image processing problems, can help get the image after white balance, there are help files and examples of images)

说明：  图像质量评价中全参考方法IWSSIM的代码，是经典方法SSIM的升级(The code of IWSSIM, a full reference method in image quality evaluation, is an upgrade of SSIM, a classical method)

说明：  以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。 以f = cos(2*pi/256*t) + sin(2*pi/128*t)做为原信号，取原信号f的20%做为输入进行压缩感知重建。(The sparse basis includes discrete cosine transform (DCT) and fast Fourier transform (FFT) as sparse basis, Gaussian random matrix and partial Hadamard matrix as measurement matrix, L1 norm and orthogonal matching pursuit algorithm (OMP) as reconstruction algorithm. In this paper, the reconstructed signal is reconstructed by using the original sensing signal (sinf * t) as the original input signal (i.e. sinf * t * 2) + 2 * s * t * as the input signal.)

说明：  GVF snakes. 最近学习用到的code，可以帮助图像处理入门级的学生了解GVF snake的实现。(GVF snakes. Recent study used the code, image processing can help entry-level students to understand the realization of GVF snake.)

自己实现的BM3D图像去噪算法。它首先把图像分成一定大小的块，根据图像块之间的相似性，把具有相似结构的二维图像块组合在一起形成三维数组，然后用联合滤波的方法对这些三维数组进行处理，最后，通过逆变换，把处理后的结果返回到原图像中，从而得到去噪后的图像。(Image Denosing by Sparse 3-D Transform-Domain Collaborative Filtering.)