MATLABtutorial

基于PCA的人脸特征抽取，首先将200幅人脸图像转换成向量形式，进而进行组成样本矩阵。(The PCA-based facial feature extraction, first 200 face images into a vector format, then the composition of the sample matrix.)

Gabor滤波器的纹理特征提取 具有很不错的性能 比较基础 (Gabor filter texture feature extraction)

遗传算法优化的极限学习机模型 采用水仙花基本特征数据集 效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)

Neighborhood rough set based heterogeneous feature subset selection

说明：  基于DWT的图像压缩，上数字图像处理可的大作业(DWT Compression)

matlab常用函数参考包含了matlab中常用的函数集合，对于学习matlab有很好的帮助(used matlab matlab function reference contains a collection of commonly used functions, good for learning matlab help)

EM算法计算混合高斯模型，可以计算三个参数。(Gaussian mixture model EM algorithm, three parameters can be calculated.)

hamming编码和RS码，在AWGN下性能(hamming codes and RS codes in AWGN performance)

完成了分数阶傅里叶变换，对学习分数阶傅里叶变换和有关变换的人有帮助(Fractional Fourier Transform ，reference for Fractional Fourier Transform)

(1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。 (3) 使用RANSAC方法，确定变换参数。 (4) 图像融合 ((1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion)