BlurKernelEstimation

应用傅立叶变换对图像处理，实现查看图像的功率谱，以及功率谱经过巴特沃斯高通、低通和高斯高通、低通滤波器后图像的功率谱，再把功率谱还原为图像的功能。(Fourier transform for image processing, see the image of the power spectrum, and the power spectrum after Butterworth high-pass, low-pass and high-pass Gaussian low-pass filter of the image after power spectrum, and then restore the power spectrum of the image.)

本段代码的功能是通过滤波器对细胞图像先进行预处理，然后再提取细胞中心实现细胞的追踪，准确率比较高。(This code is the function of cells through the filter of the first pre-process the image, then extract the cell center to achieve cell tracking, accuracy is relatively high.)

经典矩量法点匹配程序，重推导，注释说明详细(Classical point matching moment method procedure)

有关于求取图像平均梯度的matlab M 文件；可以为你省去那么一点时间。 ———共享改变未来！———(To strike the image on the average gradient matlab M documents can save you a bit of time.--- Shared change the future!---)

C++Builder编写的图象处理程序(带示例)(C++ Builder prepared image processing procedures (with examples))

自适应正则化超分辨率重建 是： M. G. Kang这人写的IEEE上发表的论文 可以参考下算法( General Choiceof the Regularization Functional in Regularized Image Restoration)

检测图片中的角点，将图片读入后转换为灰度图以便处理。 2.通过用Dx=[-1,0,1;-2,0,2;-1,0,1]和灰度图片的矩阵卷积得到灰度图片在x方向上的导数矩阵Ix，矩阵中（i，j）处的元素代表灰度图片矩阵（i，j）处在x方向的导数Ix(Detection of corners in a picture)

说明：  基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's source code.)

活动轮廓算法中的一类-几何轮廓算法，又称Levelset水平集算法，关于该算法的Matlab源码（包含一个test实例）(Active contour algorithm for a class- the geometric contours algorithm, also known as Levelset level set algorithm, algorithm on the Matlab source code (including a test instance))

说明：  example used in Python & VTK