matlab-code-image

说明：  基于matlab平台的fft加窗插值算法，适用于信号分析(Wft window interpolation algorithm based on matlab platform, suitable for signal analysis)

说明：  matlab下的相机标定工具箱，包含角点检测，求取相机内参，误差分析，求相机外参，图像校正等多种功能。附带有实验用的20张图像。(matlab under the camera calibration toolbox, including corner detection, strike the camera restricted reference materials, error analysis, seeking the camera outside the parameters, image correction, multiple functions. Comes with the 20 experimental images.)

说明：  利用蚁群算法对图片进行边缘检测，该方法速度较慢但是鲁棒性高(The ant colony algorithm is used to detect the edge of the image, which is slow but robust)

图像修复是图像复原研究中的一个重要内容, 它的目的是根据图像现有的信息来自动恢复丢失的信息，其可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。(Image restoration image restoration is an important part of the study, its purpose is to present the information according to the image to automatically recover lost information, which can be used for missing information in the old photo restoration, video, text and video error concealment removal .)

C# 放大和缩小图像 实例源码

一种二维Otsu快速算法的Matlab实现，该算法的原文参见《二维直方图区域斜分阈值分割及快速递推算法》，该文已附在内。(A two-dimensional Otsu fast algorithm Matlab realize that the original algorithm see " Two-dimensional histogram oblique segmentation area and fast recursive algorithm" , the paper has been attached into account.)

最小二乘法拟合圆vc实现，最小二乘法(least squares analysis)是一种 数学 优化 技术，它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。(least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum.)

VisualC++数字图像处理技术详解第2版光盘-第四章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter Four)

说明：  使用PCA将数据集降维，降维后将特征脸还原(Use PCA to reduce the dimension of the data set, reduce the feature face after dimension reduction)

根据厄米高斯光束的振幅分布物理公式来画厄米高斯光束的强度分布图(plot the intensity distribution of the HermiteGaussian Beams based on the physical formulars of the Hermite-Gaussian Beams )