OCR

一个齿轮时变啮合刚度求解的仿真程序，在刚度求解过程中，考虑了时变啮合刚度(Time-varying gear mesh stiffness of a simulation program to solve)

主要是用于雷达目标跟踪中的数据融合，有很好的作用(It is mainly used for data fusion in radar target tracking.)

平时工作中常会遇到需要处理图片的工作，这个是判断并修改图片分辨率的python方法。(Usually work the Central Standing Committee met to deal with the work of the picture, this is a python method to determine and modify the image resolution.)

RS攻击M程序,用于检测图像是否经过LSB密写(RS attack M procedures for detecting whether the image after LSB steganalysis)

2014年西安电子科技大学数字图像处理上机实验，同时是研究生和本科生的代码及作业 (2014 Xi' an University of Electronic Science and Technology of digital image processing experiments on board, while the graduate and undergraduate students and job code)

matlab程序，利用主元分析、T2统计图和贡献率图方法对数据进行故障检测和诊断，贡献率图是变量对失控得分进行贡献率计算(matlab program, using principal component analysis, T2 charts and maps of the contribution rate of the data for fault detection and diagnosis, the contribution rate of the variable on the map is out of control scores calculated contribution rate)

可实现答题卡阅卷系统中的图像倾斜矫正，采用Hough进行直线检测，并根据所定位的特征直线位置计算倾斜角度，再进行图像旋转，得到校正结果(chieve answer sheet scoring system image tilt correction, performed using Hough line detection, and calculates the inclination angle in accordance with the target characteristic linear position, then rotate the image, corrected results)

先进行图像的预处理，采用中值滤波，梯度增强。基于边缘帧差法实现前景检测(first image preproceing，the median filtering，grdient enhancement。based on edge detection method of frame to realiase prospect)

小波去噪，图像融合，简单的小波去噪程序.(Image denoising in the wavelet domain using Matlab.)

EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤： （1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声； （2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向； （3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大； （4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。 (Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of the other edge detectors requires urther processing to generate potential object boundaries, which may not even be possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)