xiaobogaijin-(1)

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)

hough变换提取椭圆,可以从二值图像中提取出椭圆(The ellipse can be extracted from Hough transform, and ellipse can be extracted from the two valued image.)

信号进行EEMD分，作为希尔伯特黄变换的基础(try to decompose signal using EEMD，which as the Hilbert Huang Transtion basis)

混合高斯模型提取视频帧前景背景图像，经试验验证准确率比较高(Mixed gaussian model to extract video frame prospects background image)

对测井曲线进行重构的程序，可以充分利用测井特征曲线所反应的岩性特征信息，完成多信息的融合(Log curve reconstruction procedures)

基于HIS空间的彩色烟雾图像分割算法，包含粗分，细分割与连通域提取(HIS color space based on image segmentation algorithm smoke contains coarse points, fine segmentation and connected domain extraction)

说明：  对图像进行标记分水岭算法分割，有效的避免过分割(Marked watershed algorithm on the image segmentation, effectively avoid over-segmentation)

寻找最低像素值的matlab实现：通过图像矩阵的循环查找，能实现最低像素值的快速寻找(Matlab find the lowest pixel value to achieve: to find the cycle through the image matrix, to achieve the minimum pixel value Quick Find)

说明：  自己写的fft的应用实例，包括对一维振动信号分析，对二维图像频谱分析。(The application examples of FFT written by myself include one-dimensional vibration signal analysis and two-dimensional image spectrum analysis.)

一种基于关键点的复制粘贴检测算法，可以完成两幅图像的关键点匹配，也可以检测到一副图像是否经过复制粘贴后放大缩小、旋转等篡改操作(Key matching a replicon paste detection algorithm based on key points, you can complete two images, it can also detect whether an image after copying and pasting zoom, rotate, etc. tampering operation)