PCA-SIFT

说明：  连通监控视频的 火灾检测，颜色特征，纹理特征等(fire detection Description for each code - extract_red.m, objectlabel.m : Ground Truth labeling automation code generated from Apps - FireDetection.m : MATLAB class to import custom algorithm to Image Labeler - yolov2_detect.m : Entry function for GPU Code generation - GroundTruthTest.mlx : Test code for ground truth labeling - yoloFire_Train.mlx : Training code for YOLOv2 network - Live_Webcam_YOLOv2.mlx : Live webcam demonstration code for YOLOv2 network)

说明：  三次样条插值函数，分别是基于二阶导数的和一阶导数实现的(Cubic spline interpolation function)

一个计算多重分形谱的matlab程序，希望对大家有用。(a calculation of the multi-fractal spectrum of Matlab procedures in the hope that it may be useful right.)

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

空间光通信中的信标光探测器非均匀性校正，使用matlab进行仿真，得到探测器非均匀性校正前后的光斑位置探测情况(Nonuniformity correction of beacon photodetectors in space optical communication)

图像金字塔，得到降采样后的图像和残差图像(image pyramids,generating image pyramids and predicton residual)

jquery.easing.js 1.3 是一个配合jquery实现完美动画效果的扩展插件，比如我们在使用jquery制作一幅图片滚动或图片渐变，使用本插件可扩展或增强jquery性能，生成完美无缺兼容性更好的jquery动画来，它不仅可以用于图像特效，像一些基础的层操作也可以使用。(jquery.easing.js 1.3 is a perfect fit jquery animated extensions, such as we use jquery make a picture or a picture scroll gradient, using this plugin jquery enhanced scalability or performance, generate flawless compatibility and better jquery animation, which not only can be used for image effects, like some basic layer operations can also be used.)

说明：  用重心法实现光斑中心定位，matlab程序(Facula Center Location by the Method of Center of Gravity)

图像的相关系数是衡量两幅图像的相关程度的，本代码直接通过选定区域计算出相关系数！(image correlation coefficient is a measure of two images of the code directly through selected regional correlation coefficient calculated!)

采用matlab代码进行超像素分割，可以很好使用，效果好(Super-pixel segmentation using matlab code can be used well and the effect is good.)