LBM-for-image-inpainting

利用傅立叶变换和相位相关法来检测图象的区域复制伪造(Use of Fourier transform and phase correlation method to detect forged images of the regional replication)

对火焰惊醒提取轮廓 并求取周长面积 圆形度(Woke up on the flame contour extraction and the degree to strike a circular perimeter area)

说明：  matlab实现的简单的车牌识别，附有相关模板库(matlab chepaishibie,and xiangguanmubanku)

形态学pathopenings的实现，对线特征提取等图像处理有令人惊奇的效果。(Morphological pathopenings the realization of the line feature extraction and other image processing have surprising effects.)

说明：  提供激光雷达点云数据的读取，滤波及分类功能(LIDAR point cloud data available to read, filter and sorting functions)

使用matlab实现的,基础单变量以及多变量梯度下降算法,和信号分类以及信号归一化部分算法，是机器学习领域最基本的代码，希望大家多多交流(matlab implementation of basic univariate and multivariate gradient descent and signal classification algorithms, machine learning basic code, hope that more exchanges)

最小噪声分离变换（Minimum Noise Fraction Rotation，MNF Rotation）工具用于判定图像数据内在的维数（即波段数），分离数据中的噪声，减少随后处理中的计算需求量(Minimum Noise Fraction Rotation (MNF Rotation) tool is used to determine the intrinsic dimension (i.e. band number) of image data, separate the noise in data, and reduce the computational requirements in subsequent processing.)

如题，里面有414张人脸图+matlab 图像重构代码和图像主成分代码(As the title says, there are 414 face pictures in it.+Model of image rebuild +Pca for Image code)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)

基于图像空间的素描效果生成技术，提供测试图片，利用sketch文件开始(Generation technology based on image space sketch effect)