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通论算法，给人脸做重构处理，进一步完成人脸的样本稀疏化，还能更好的重构人脸。(The General Theory of algorithms, giving face to do reconstruction processing to complete further thinning of face samples, but also to better reconstruct the face.)

提出了两个已知波长的消光系数比来表征气溶胶粒子对入射激光衰减特性的方法。(Two known wavelengths of the extinction coefficient of light than to represent the attenuation characteristics of the aerosol particles on the incident laser.)

说明：  图像处理小工具箱，包括中值滤波，高斯滤波，均值滤波，canny边缘提取等小程序(Image processing toolbox, including median filter, gaussian filter, mean filter, canny edge extraction and other small procedures)

This program draws an image from a bmp file

用matlab实现的对数极坐标转换图像配准算法，实验证明效果不错(Using matlab realize logarithmic polar coordinate conversion image registration algorithm, experiments show good results)

图像扭曲变形程序，可以对图像进行扭曲变形。 功能：旋转扭曲/球面镜变形，B样条网格变形，TPS网格变形 (Image distortion program, the image may be distorted. Function: Twirl/spherical mirror deformation, B-spline morphing, TPS morphing)

摄像头录制功能

利用彩色图像的处理方法和数学形态学方法，编程计算荔枝果实的质心点的图像坐标(The use of color image processing method and mathematical morphology, image coordinates programmed to calculate the centroid of litchi fruit points)

说明：  图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。 图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。 (A sharp and clear image is not directly produced from the optics, however, digital signal processing applied to the sampled image produces a sharp and clear final image that is also insensitive to misfocus related aberrations. This paper gives an overview of Wavefront Coding and example images related to the two applications of machine vision/label reading and biometric imaging. Design techniques of Wavefront Coding are unique from that of traditional imaging system design since both the optics and digital processing characteristics of the system are jointly optimized for optimum system performance.)

分别用kmeans、fcm、kfcm实现图像分割(use kmeans, fcm and kfcm segment image)