Multiphase_based-level-set

PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！(PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!)

说明：  本程序是用matlab实现的CLBP源码(The source code of CLBP implemented by matlab)

蚁群算法实现医学图像的分割，同时对比FCM算法，非常有用，可以直接运行，包含测试MRI图片(Ant-Colony algorithm for MRI image segmentation including MRI image for testing.)

基于Hog特征 SVM分类器，利用Opencv3.0进行手写数字识别的源代码及所需资源文件（训练图片、测试图片）

细菌觅食算法在人脸识别中的应用，图像经过小波变换预处理(The application of bacterial foraging algorithm in face recognition, image preprocessing by wavelet transform)

钢板表面质量检测中，图片是否有拉伸的监测和分析程序(Steel plate surface quality detection, image whether the stretching of the monitoring and analysis program )

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

说明：  利用特征提取和分类的方法,假设输入值为{大,圆,光滑}为水果的三个特征值,来代表三种不同的水果,识别苹果\梨\香蕉\桔子\菠萝水果类别. (The use of feature extraction and classification methods, assuming that the import value was (large, round, smooth fruit) for the three characteristics of value, to represent three different types of fruit, to identify Apple \ pear \ banana \ orange \ pineapple fruit category.)

这是一个多重网格的程序，可以对偏微分方程进行计算！(This is a multi-grid procedure, partial differential equations can be calculated!)

dib图像的读取，显示以及存储，能够运行(dib image read, display, and storage, and be able to run)