ISODATA

核自适应滤波算法krls的matlab程序。已将klms算法弄成函数，加载即可使用。(Nuclear adaptive filtering algorithm krls matlab program. Klms algorithm has inflicted function, load can be used.)

说明：  快速的人脸特征提取算法KPCA，比普通的pca特征提取算法在效率上好了不少(Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many)

说明：  基础SAD算法代码，最基本的图像匹配处理方法，也是最常用的基本法，有助于新手理解(Basic sad algorithm code)

小波脊线提取crazy climber算法的文献出处(The wavelet ridge extract crazy climber algorithm literature source)

Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 (A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)

光流法是动态背景目标检测的重要方法，介绍了光流法的原理(Optical flow method is a dynamic background target detection method, introduced the principle of optical flow method)

基于轮廓波变换的图像硬阈值去噪程序，并通过等效视数、斑点噪声指数进行评价(Hard-based image thresholding wavelet transform program outline and uated by ENL, speckle noise figure)

lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。(lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.)

目标检测，利用上下文关系 (object detection using context)

sift 的c++代码。。。。。。。。。。。。(sift c++ code)