ist-algorithm

计算机视觉和视觉测量中常用的椭圆拟合程序。用于视觉测量中的圆形标志点检测。(Computer vision and visual measurement of the ellipse fitting procedure used. Vision for the measurement of circular signs point detection.)

我自己写的用hilbert曲线扫描图像后，进行图像检索的代码，里面有很多有用的代码，有部分是在国外网上淘的(I wrote it myself using hilbert curve scanned image after image retrieval code, which has many useful code, some of the Amoy abroad online)

按照最邻近原则把待分类样本点分到各个簇。然后按平均法重新计算各个簇的质心，从而确定新的簇心。一直迭代，直到簇心的移动距离小于某个给定的值。(According to the nearest neighbor principle, the sample points to be classified are divided into clusters. Then the centroid of each cluster is recalculated according to the average method to determine the new cluster center. Iterate until the moving distance of the cluster center is less than a given value)

这是一种很强的人脸检测程序，你可以试试，但我也不知是用什么方法。(This is a very strong face detection process, you can try, but I do not know in what ways.)

：近距离目标超高分辨率微波成像技术在安全检测、非破坏性控制、生物医学等领域中有着非常重要的应用 价值和广阔的应用前景。该文利用基于窄脉冲形式的超宽带时域雷达系统研究近距离目标的高分辨率ISAR成像， 给出了仿真和实测结果。利用转台旋转目标，基于超宽带脉冲源和超宽带收发天线以及高性能取样示波器，配以同 步触发脉冲和自行研发的数据采集软件，搭建了该时域雷达实验系统，提出了准确获取目标回波信息的实验条件， 和实现回波延时精确校正的误差补偿方法。并针对采样时间窗内的杂波干扰，讨论了时域后向投影算法(Back Projection，BP)与背景对消技术相结合的成像算法，实现了分辨率为 8 mm 的近距离目标的成像，准确地反映了 目标的位置、形状和大小等信息。( The high resolution imaging of near field targets are interesting for security, non-destructive control and biomedical application. In this paper, high resolution near field ISAR imaging is implemented using Ultra Wide Band (UWB) time domain radar system. Simulation and experiment are both conducted. The target is rotated by turntable. The system is built based on the UWB pulse source, UWB antennas, high performance sampling oscillograph, synchronous trigger pulse and proper motion study data acquisition software. Experiment condition and delay errors compensation method are presented to obtain accurate echo information of the target. And Back Projection (BP) combined with background cancel algorithm is discussed considering the clutter interference in time window. )

为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 (PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component Analysis (kpca) method, 16 kinds of different regions of our country the quality of fermented bean curd had a comprehensive evaluation.)

说明：  一种人脸识别方法,是利用眼睛虹膜进行识别(A face recognition method is the use of iris identification)

一种图像处理超分辨率重构方法，主要是利用图像稀疏表示的方法进行图像重构(Super-resolution reconstruction of an image processing method, mainly using sparse representation of image reconstruction methods for image)

将需要处理的图像进行九等分，输出分割的图像并确认是否保存。——By LPETERPAN(Will need to deal with the image of nine equal, the output image segmentation and confirm whether to save.—— LPETERPAN)

基于visual c++平台，相机标定方法中的直接线性变换方法，即DLT方法(Based on visual c++ platform, camera calibration method of direct linear transformation method, namely DLT method)