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mahalanobis
- 一种新的计算马氏距离的算法，算法采用二次协方差矩阵操作，进而使距离考加入相对性因素。-a new Mahalanobis distance calculation algorithm, the algorithm using quadratic covariance matrix operations, thereby enabling the relative distance to take factors.
CalcVecDistance
- vc+opencv计算欧氏距离和马氏距离-vc+ opencv calculating Euclidean distance and Mahalanobis distance
Image
- 遥感图像的打开处理程序，能够打开单波段，多波段图像，几何图像变换，线性拉伸变换，平滑 处理包括并行和串行，锐化处理包括梯度锐化、Roberts锐化、laplace锐化、sobel锐化等，还 有用绝对距离和马氏距离算法进行的监督分类算法等，包括了RAW格式数据资源-The opening of remote sensing image processing, to open the single-band, multi-band images, geometric image
patternClass
- 產生k個d維的常態分布樣本，產生某個事前機率為P(wi)的常態分布的discriminant function，計算任兩點間的Euclidean distance及Mahalanobis distance -Generated k-d-dimensional normal distribution of samples to generate a prior probability P (wi) of the normal distribution of the discriminan
ActivityRecognition
- Activity recognition program using Motion History Image s 7 Hu moments. The program compare the Mahalanobis distance of the Hu moments of the video input with the reference and find out the activities.
oula
- 基于欧拉-熵向量的图像检索,相似度可用马氏距离-Based on Euler- entropy vector image retrieval, similarity can be used Mahalanobis distance
featdetectionmahalanobis
- feature detection with mahalanobis distance
000
- Mahalanobis距離是一個可以準確找出資料分布上面極端值(Outliers)的統計方法,使用線性迴歸的概念,也就是說他使用的是共變數矩陣以及該資料分布的平均數來找尋極端值的產生,而可以讓一群資料系統具有穩健性(Robust),去除不必要的雜訊訊息,這邊拿前面共變數矩陣的資料為例,並且新增了兩個點座標向量來做Mahalanobis距離的比較-Mahalanobis distance is the information that can accurately identify the dis
Mahalanobis_PCA
- 在提取特征，进行特征投影之后，通常要用Mahalanobis来比较二者是不是图像，这里以PCA为例。-In feature extraction, the feature projection, the usual Mahalanobis use to compare the two is not the image, here for example PCA.
colorseg2
- 对彩色图像进行分层，并且使用欧式距离和马氏距离作为辅助计算，效果很好。-Stratified, the color image and use the Euclidean distance and Mahalanobis distance as an auxiliary, the effect is very good.
Key_Frame_identification-master
- 使用Matlab基于直方图、欧式距离和马氏距离实现视频镜头分割-This project takes a video as input and converts it into frames. From the numerous frames it identifies only a few number of frames which are the key frames. Key frames are identifies by implementing Histogram analysis
3
- 基于马氏距离度量的局部线性嵌入算法 局部线性嵌入算法(LLE)中常用欧氏距离度量样本间相似度.而 对于图像等高维数据,欧氏距离不能准确体现样本间的相似程度.文中提出基于马氏距离度量的局部线性嵌入算法(MLLE).算法首先从现有样本中学习到一个 马氏度量,然后在LLE算法的近邻选择、现有样本及新样本降维过程中用马氏度量作为相似性度量.将MLLE算法及其它典型的流形学习算法在ORL和 USPS数据库上进行对比实验,结果表明MLLE算法具有良好的识别性能. -Based on local
yaohang
- Isodata iterative self-organizing data analysis, Energy spectrum analysis and calculation, Using matlab to calculate the Mahalanobis distance for the image.
cmeqj
- A complete set of brothers, Correlation analysis process matlab method, Using matlab to calculate the Mahalanobis distance for the image.
fg180
- Using matlab to calculate the Mahalanobis distance for the image, It uses a pulse of consumer law, matlab wavelet analysis program.