SRAD

通过纹理方向估计消失点，通过消失点来检测道路区域。 该程序应用到了基于纹理的张量投票算法来估计消失点；通过纹理方向和颜色信息，生成用于估计两个最主要道路边界的直方图；最后将道路区域定义为两个检测到的道路边界之间且低于估计的消失点的区域(The vanishing point is estimated by the texture direction, and the road area is detected by the vanishing point. The program applies a texture-based tensor voting algorithm to estimate the vanishing point; through the texture direction and color information, generates a histogram for estimating the two most important road boundaries; finally defines the road area as two detected road boundaries. An area between and below the estimated vanishing point)

Matlab 实现的图像拼接 LM算法校正 手动选取特征点(Matable)

基于主成分分析与灰度（颜色）、纹理（灰度共生矩阵）的图像分类matlab程序（附示例图像）。(Image classification matlab program based on principal component analysis and gray (color), texture (GLCM) (with sample images).)

图像处理中的图像几何校正，使用MATLAB编程(Image geometric correction in image processing, using MATLAB programming)

边缘检测法和阈值分割法，是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验，在详细分析检测原理的基础上，编写了相应的实验并给出了实验结果。(Edge detection and thresholding method, image segmentation is an important technology in two ways. This article describes the general principles of image edge detection and thresholding, the typical algorithms and research status. In this paper, several edge detection operator and thresholding techniques are discussed in detail. Statistics for the number of matches and reinforced the number two experimental statistics, based on a detailed analysis of the detection principle, write the corresponding experimental and experimental results are given.)

说明：  基于cs的sar成像仿真，包括omp、sl0、osl0、onsl0等cs算法(ISAR imaging simulation based on CS, including OMP, sl0, osl0, onsl0 and other CS algorithms)

Matlab程序，用于图像去噪声处理，特色是能够在去噪时保护图像边缘，是非线性滤波处理(Matlab program for the image to deal with noise, features that can protect the edge denoising is nonlinear filtering deal)

火灾探测中火焰图像分割方法研究,比较实用。(Fire detection fire image segmentation, more practical.)

图像修复程序，专门用于去除图片中大的物体。去除后的图像裂缝通过基于用户手动得到的掩模进行填充。(This project involved removing large objects from images. From a user-specified mask, small patches were duplicated until all remaining gaps were filled. )

利用FFT傅里叶变换，去除影像中的条带噪声(Removal of image noise)