MCA

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

说明：  对图像进行处理，直接在RGB图片上画直线，矩形，多边形，写字。(Image processing, including the pictures directly on the RGB lines, rectangles, polygons, write.)

内含张正友，tsai的标定方法，可以求解摄像机内参数u轴尺度因子，v轴尺度因子，摄像机外参数：两摄像机坐标系原点之间的旋转矩阵和评议矩阵，可以得出摄像机像素参数，焦距，畸变系数，并且带有优化结果。(Containing Zhang Zhengyou, tsai calibration method that can solve the camera parameters u-axis scale factor v The axis scale factor, the camera extrinsic parameters: the rotation matrix between the two camera coordinate origin, and appraisal matrix can be drawn from the camera pixel parameters, focal length distortion coefficient, and with optimal results. )

图像相似度计算，利用hog特征，不变矩，包含canny因子计算 来计算两张图片的相似度。可以用来进行图片检索(Image similarity calculation, hog characteristics, invariant moments contain a canny factor to calculate the similarity of two images. Can be used for image retrieval)

very useful toolbox for the matlab user

用Visual C编的用于语音的频频谱的检测，能显示出来语音的频谱图。 (Visual C series of the spectrum for voice detection, displayed the frequency spectrum of the voice.)

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)

对图像进行大津法阈值分割，以及图像的分块。(Image Otsu threshold segmentation, as well as block images.)

几个大牛对集成了国内外特征提取最前沿的算法，特征提取，DOG,HARRIS,HARRIS-LAPLACE,HARRIS-AFFINE,MSER.描述符，SIFT,AFFINE-SIFT,GLOH.经测试，速度快，描述符准确。(Integration of feature extraction algorithms from several expert of domestic and international, feature extraction： DOG, HARRIS, HARRIS-LAPLACE, HARRIS-AFFINE, MSER； Descriptors： SIFT, AFFINE-SIFT, GLOH. The test reveal the speed and accurate descriptor.)

容积卡尔曼滤波源程序，容积卡尔曼滤波源程序(cubature Kalman filter source, cubature Kalman filtering ，matlab)