图像处理

对两帧图像进行ICM调试.包含内容：1估计姿态和摄像机内参数；2两幅图做四次金字塔；3利用输入特征点采用ransac算法估计姿态R, T。4sift特征匹配；5摄像机标定。(ICM images on two debugging. Contains: 1 Estimated posture and intrinsic parameters 2 two plans to do four pyramids 3 using the input feature points using ransac algorithm estimates gesture R, T. 4sift feature matching 5 camera calibration.)

一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取，并验证原始信号的正确性。Trigger使用M-code实现，并且使用S-function封装到Simulink中。(An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing and signal peak extraction of the original signal, and verify the correctness of the original signal. Trigger M-code implementation, and encapsulated in the Simulink S-function.)

一个小巧的图片水印工具，可在图片的指定位置写入文本，文本字体可调(A small picture watermark tool)

说明：  人脸识别提出的LBP特征计算程序，简单实用的特征，可以得到统计的直方图特征(LBP features of face recognition proposed by the calculation procedure, simple and practical features of the histogram statistics can be characteristic of)

数字图像处理radon+matlab变换算法代码(Digital image processing algorithms transform radon+ matlab code)

分别使用灰度值变换和频域滤波的方法实现图像的伪彩色处理。在Matlab中编程实现(The use of gray value, respectively, transform and frequency domain filtering method of pseudo-color image processing. Programming in Matlab in)

使用K均值做聚类分析来进行图像分割,把原始图像转换到HSV空间做聚类分析(use k-means clustering to segment the image)

matlab编写的对二值图像的数字水印添加与提取程序。压缩包中有示例图片。可以添加水印，结果肉眼不易分辨出变化，不影响使用。可加入信息长度达100个字节。提取时可验证是否被修改过，如未修改，可提取隐藏信息。当有修改发生时，可以定位修改的位置，并在图上标出。标识面积占修改面积的75％，一般修改都能标出(matlab prepared binary image of the digital watermark added and extraction procedures. Compression package has sample images. Can add watermarks, the results of the changes are not easily distinguishable from the naked eye, does not affect use. Can be added to the information length of 100 bytes. Verifiable extraction has been modified, if modified, can extract hidden information. When a modification occurs, you can modify the location of positioning and marked maps. Logo area accounted for 75 to amend the area generally can be identified modifications)

图像清晰度测量的算法,算法基础,易懂,适合初次接触图象清晰度的人入门用(Image sharpness measurement algorithm based on, easy to understand for the initial contact with the image clarity of a person entry with)

最经典之做，保证别人没有上传过 实现文章 “GrabCut" Interactive Foreground Extraction using Iterated Graph Cuts 用graphcut实现图像分割，效果非常好(The most classic to do to ensure that other people do not realize uploaded article GrabCut Interactive Foreground Extraction using Iterated Graph Cuts with graphcut realize image segmentation, has very good results)