l1_ls

基于AR2模型的粒子滤波源代码，可用于图像处理，视觉跟踪，希望可以帮助有需要的人(AR2 model particle filter based on source code can be used for image processing, visual tracking, I hope to help people in need)

基于神经网络的地面裂缝检测软件，可以在界面上选择各种功能去检测。(Ground crack detection software based on Neural Network)

说明：  小波去噪 matlab小波去噪详解超全超全有程序,小波去噪，硬阈值软阈值(Wavelet denoising Matlab wavelet de-noising details super full super full program, wavelet de-noising, hard threshold soft threshold)

sample illust back image2 mask sample

说明：  在matlab下实现信号频谱分析：利用快速付里叶变换FFT得到下列信号的频谱，并绘制信号及频图形：1.长2s的方波信号，频率f=10Hz (In matlab signal spectrum analysis: the fast in leaf transform FFT get pay of spectrum, the signal and drew the signal and frequency graphics: 1. The long 2s, frequency f = square wave signal 10Hz )

遥感图像分类工具箱，包含多种基于支持向量机分类器的主动学习算法(active learning toolbox, used for remote sensing data classification, includes most popular svm-based active learning algorithms.)

彩色车牌的一种新的阈值分割算法的实现,可以参考实现其他型状的彩色分割 (color plates of a new threshold segmentation algorithm achieved, we can make reference to the achievement of other shapes color segmentation)

说明：  在matlab平台下，对一个文件夹下的图片自动改名，可用于大批量图片重命名问题，方便实用(Matlab platform, the picture on a folder automatically renamed, large quantities of images can be used to rename the problem, convenient and practical)

基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的(This paper proposes a powerful and robust local descriptor,called textureorientation descriptor(TOD). TOD consists of two components: texture and orientation. Considering that the human shape shows more short, fragmentary and vertical edges, the proposed TOD descriptor encodes the spatial information of pedestrian image. We combine the proposed TOD representation model with mean shift framework to perform pedestrian tracking. Results from experiments show the improved performance of the proposed algorithm, in the scenarios of heavy occlusions, illumination variations and similar objects interference, when compared with the other descriptors based trackers.)

带通配符的字符串匹配,多重匹配,支持通配符“*”，“？”(String matching with wildcards, multiple matches, supports wildcards " *" , " ?" )