lda

改进的JPEG算法 可用于MPEG-2帧内编码部分(The JPEG algorithm can be used to improve MPEG-2 intra coding part)

基于形态学的权重自适应图像去噪；通过串并联的滤波降噪对比图，说明并联降噪的优越性(Heavy adaptive image denoising based on morphology right noise filtering by series-parallel comparison chart, show the advantages of parallel noise reduction)

Viola-Jones 算法的人脸检测程序，附带检测图片(for detection using Viola-Jones Algorithm. To save Cropped Picture you need to change the folder location.)

You can generate image with colored bars and u can analise signals of image

基于ransac的椭圆检测，对于一组随机的椭圆点，可以得到椭圆参数，检测精度高。(Based ransac ellipse detection, for a group of random elliptic points, you can get an ellipse parameters, high detection accuracy.)

提取AVI格式视频文件为一帧一帧的jpg格式图片(Extraction of AVI format video files to a jpg format of a picture)

对两幅图像提取特征点，并计算基本矩阵，对两幅图像进行极线矫正，并画出校正后图像特征点的极线，效果非常好(The two images of the image feature points in the feature points are extracted, and the calculated fundamental matrix, correction of lines of the two images, and after the draw correction lines, very good results)

说明：  基于分水岭变换的浮选泡沫图像分割基于分水岭变换的浮选泡沫图像分割(GOODGOODGOODGOODGOODGOODGOODGOOD)

SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题(SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems)

说明：  ORL人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。分类准则为最近邻规则。 真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。 (ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sample, correct classification rate statistics. Classification criteria for the nearest neighbor rule. The real image size is 112x92, the corresponding column vector face database matrix accumulation of each column.)