傅里叶梅林变换参考代码

pca特征提取子程序，毕设用的，算法优化非常好，几乎没有循环，相当节省时间，堪称经典，运行绝对正确！！(pca feature extraction subroutine, used to complete set up, very good algorithm, almost no circulation, saving considerable time, classic, run absolutely right! !)

这是一个阈值分割的小例子，利用阈值分割把原始图片转化为二值图像和灰度图像。(This is a small example of a threshold segmentation using thresholding the original image is converted to binary and grayscale images.)

波变换的图像配准与融合算法的研究，主要描述了图像的各种配准方法和基本的融合方法(Wavelet transform algorithm for image registration and fusion research, will describe a variety of image registration methods, and basic integration methods)

实现模糊聚类算法（FCM）与马尔科夫随机场空间约束（MRF）的图像分割、SAR图像变化检测(Fuzzy Cluster Method and Markov Random Field for Image Segmentation or SAR Change Detection)

用于立体图像质量评价的无参考图像质量评价程序，运行在matlab环境下。(A no-reference image quality evaluation program for the quality evaluation of stereoscopic images, running in the MATLAB environment .)

CV源码 levelset模型分割图像源代码(CV code)

GAC evolves the level set function according to geodesic active contour model(GAC evolves the level set function accordi Vi to geodesic active contour model)

横断面数据抬杆法格式与中心点为原点格式格式转换 高程加常数(Cross-sectional data raise the center pole method format format format converter for the origin plus constant elevation)

线性反投影算法（Linear Back Projection，简称 LBP）又称累加法，是最早使用的一种简单（ECT图像重建）成像算法。它将通过某点的所有投影射线进行累加，再反向估算出该点的密度值。从成像观点分析，它是不完全的雷登逆变换（完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤）。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)

利用matlab程序编写的图像分割代码，计算分割后的区域邻接图(Using the image segmentation code written by the matlab program to calculate the neighborhood graph after the segmentation)