qiuzhi

说明：  matlab水果识别器，形态学，识别五种水果，要求背景较简单边缘明析(matlab fruit recognizer, morphology, recognition of five kinds of fruits, requiring simple background and edge)

掌纹图像双峰法二值化，边界跟踪提取掌纹轮廓线，harris角点，手动提取关键点建立坐标系和画正方形(Palmprint image bimodal binary, boundary tracking extract palmprint contour, harris angle manually extract key point to establish a coordinate system and draw a square)

用matlab仿真，研究不同阈值降噪后的效果，使用penalty阙值降噪后信号，使用Birge_Massart阙值降噪后信号，使用缺省阙值降噪后信号。(Using matlab simulation to study the different threshold noise reduction effect, the use of penalty threshold denoised signal after noise reduction using Birge_Massart threshold signal, use the default threshold signal after noise reduction.)

用matlab实现人眼定位的程序 ，包括滤波、阈值分割、人眼粗定位、精确定位等。(Using matlab realize the human eye positioning procedures, including filtering, threshold segmentation, the human eye coarse positioning, precise positioning.)

基于mfc对话框开发的图片位深度转换器，源码部分截图如下。 CImage img;    img.Load("D:\qrcode.png");    img.Save("D:\qrcode.bmp");    CxImage ximage;    ximage.Load("D:\qrcode.bmp", CXIMAGE_FORMAT_BMP);    ximage.AlphaStrip();    ximage.Save("D:\11.bmp", CXIMAGE_FORMAT_BMP);

Probabilistic Latent Semantic Analysis模型实现，用于目标识别或文本识别(Probabilistic Latent Semantic Analysis model for target recognition or text recognition)

cashift_matlab,我做的一些修改： 1.修改了之前网上的那种需要输入avi文件名再读取的方式，改成直接读取avi文件。 2.修改了另外建立avi文件的方式。 2.实时显示跟踪结果。 3.彩色图显示，用红色框圈出目标。 4.因为是基于颜色特征的，所以要选色颜色特征明显的。你可以自己拍摄目标颜色突出的avi视频来测试。 5.程序结束时有点小问题，按ctrl+c结束。(cashift_matlab, I made some changes: 1. Modify the kind of network before you need to enter the avi file name and then read the way to read avi file directly. 2. Modify the other way to create avi file. 2. Real-time display tracking results. 3. The color map shows the target with a red box. 4. Because it is based on the color characteristics, so to choose the color characteristics of the obvious. You can test your own avi video with a prominent target color. 5. A little problem at the end of the program, press ctrl + c to end.)

使用K-L算法进行人脸识别，在经典的算法基础上加上了正确率统计模块，对正确率的分析很有帮助( 分析很有帮助 Implement face recognition Using K-L algorithm, Added the rate of correct module to the classical algorithm, It s helpful to analysis the rate of correct.)

用于通过三维激光点云数据生成二维的地理参考特征图像，此处以高程作为特征(Used by 3 d laser point cloud data to generate two-dimensional geographical characteristics of reference image, the elevation as features)

使用kmeans算法对图像进行分割，先对图像进行了rgb到lab的转换(Use kmeans algorithm for image segmentation, the first image of rgb to lab conversion)