搜索资源列表
matlab
- 指纹识别是基于特征值算法，图像与处理技术。本人采用的是matlab语言进行编写的。-Fingerprint identification is based on eigenvalue algorithms, image processing techniques. I is written in Matlab language.
wenli
- MATLAB14个特征值的提取程序，包括能量、熵、对比度、相关性、逆差等14个特征值的程序。-MATLAB14 eigenvalue extraction program, including the energy, entropy, contrast, correlation, deficit 14 eigenvalues program.
matlab-image-process
- comparehist是用于检测两个图像的直方图巴士距离，xuefu是通过C类均值算法对图像进行颜色聚类，ccv是提取衣服图像的颜色一致向量，便于以后对图像各个特征值进行操作-comparehist is used to detect the two image histogram bus distance, xuefu Class C means algorithm for image color clustering, ccv extract clothes image consistent
grid_study
- grid-study 学习文件，提取特征值写入features.txt 文件 recognition 识别文件，记录错误到 log.txt features.txt 为10*16 特征值 log.txt 为识别错误记录 study.txt 为学习图片的正确值 test.txt 为测试图片的正确值-grid-study learning file, extract the eigenvalue write the features.txt file
study
- study 学习文件，提取特征值写入features.txt 文件 recognition 识别文件，记录错误到 log.txt features.txt 为特征值记录文件 log.txt 为识别错误记录 study.txt 为学习图片的正确值 test.txt 为测试图片的正确值-study studying the documents, extract eigenvalue write features.txt file recognitio
recognition
- study 学习文件，提取特征值写入features.txt 文件 recognition 识别文件，记录错误到 log.txt features.txt 为特征值记录文件 log.txt 为识别错误记录 study.txt 为学习图片的正确值 test.txt 为测试图片的正确值-study studying the documents, extract eigenvalue write features.txt file recognitio
77grid
- grid-study 学习文件，提取特征值写入features.txt 文件 recognition 识别文件，记录错误到 log.txt features.txt 为10*49 特征值 log.txt 为识别错误记录 study.txt 为学习图片的正确值 test.txt 为测试图片的正确值-grid-study learning file, extract the eigenvalue write the features.txt file
BP
- grid-study 学习文件，提取特征值写入features.txt 文件 recognition 识别文件，记录错误到 log.txt features.txt 为10*49 特征值 log.txt 为识别错误记录 study.txt 为学习图片的正确值 test.txt 为测试图片的正确值-grid-study learning file, extract the eigenvalue write the features.txt file
lossy
- In mode analysis it is usually the primary goal to find a propagation constant. This quantity is often, but not always, real valued if the analysis involves some lossy part, such as a nonzero conductivity or an open boundary, the eigenvalue is co
matchfinal
- 在VC环境下实现指纹识别，输入一幅图像（库中存在的）会匹配出对应的图像。包括预处理（二值化、分割、均衡、去噪、增强、细化等），特征值提取，即为提取端点和分叉点坐标，特征匹配，最后输出对应的指纹编号。-In the VC environment realize fingerprint recognition, input an image (library existing) will match the corresponding image. Including pretreatment (b
CMM
- 特征值法拟合平面，估计出平面参数，可直接运行-The eigenvalue method fitting the plane, estimated plane parameters, and can be run directly
normal-directions-of-3D-points
- 根据协变矩阵和求最小特征值的方法求出三维点云数据的法向，根据OpenGL实现可视化,程序实用.-Noraml directions of 3D points can be obtained by calculating the smallest eigenvalue of covariance matrix, also, the method can be visualized by OpenGL, which is practical.
corner
- 角点监测，主要利用GoodFeatureToTrack函数，在图像中寻找具有大特征值的角点。效果良好。-Corner monitoring, using mainly GoodFeatureToTrack function, in the image to find a corner point having the largest eigenvalue. To good effect.
PCA-SIFT
- PCA——SIFT 特征值提取算法实现 用于图形图像处理的sift特征提取-PCA- SIFT the eigenvalue extraction algorithms to achieve
search
- 利用java实现sift算法，实现对图像人脸信息特征值的提取 -Using java to achieve sift algorithm, the image face eigenvalue extraction
juzhentezhengzh
- 矩阵特征值和特征向量的计算，vc实现代码-Matrix eigenvalue and eigenvector calculation, vc achieve code
tezhenzhifudao
- 把Carstensen和Jun Hu（见SIAM JNumer Anal，2007，107：473—502）建立的残差型误差指示子，移植到特征值问题EQ1^not元近似。给出了Matlab程序，计算结果说明该指示子是有效和可靠的。-The Carstensen and Jun Hu (see SIAM JNumer Anal ,2007,107:473-502) to establish the residual type error indication son, transplanted t
ROOTMUSIC
- 针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验
svtrpca
- 基于特征值分解的低秩图像分解程序，将目标图像分割为背景和前景之和，参数可以在运行中依据目标图像的实际情况进行调节，注意目标图像不要过大，否则会溢出。-Based on Eigenvalue Decomposition of low rank image decomposition process, the target image into the background and the foreground and, in the operation parameters can be base
img-Match
- testpipei_1.m 基于灰度的归一化匹配算法 testpipei_2.m 基于灰度的快速模板匹配算法 getOrder.m 二进制编码 gettezheng.m 求特征值-Testpipei_1. M normalized matching algorithm based on gray level Testpipei_2. M fast template matching algorithm based on gray level GetOrder. M binar