搜索资源列表
test
- 实现数字图像模式识别中图像的标识和特征提取,并实现计算样品的特征值。-Digital image pattern recognition and image feature extraction identifies and implements the eigenvalues of the sample is calculated.
regression
- copper_file.txt是保存图像颜色特征值,除了J10,J16,J25 yydata.txt是对应测量的品位值 xs.txt是J10,J16,J25对应的图像颜色特征值。 realdata.txt是J10,J16,J25对应的品位值。 P变量是预测值 rs是均方差平方根值。-copper_file.txt image color feature value is preserved, except for J10, J16, J25 yydata.txt grade
gaussmix
- GMM(高斯混合模型),在语音和图像方面有着广泛的作用,用于特征值的建模以及识别。-GMM (Gaussian mixture model), the voice and image has a broader role for the eigenvalues of modeling and identification.
PCA-renlianshibie
- 采用PCA提取人脸特征,先计算M个图像的平均值脸,再求出各特征值脸。-Using PCA for face feature extraction, first calculate the average face image of M, and then find the face value of each characteristic.
TextureFeatureExtraction
- 基于灰度共生矩阵的纹理特征提取,输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
TextureFeatureExtraction
- 基于灰度共生矩阵的纹理特征提取,输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
eigenvectors
- 求矩阵特征值及其特征向量,图像处理中常常要用到,比如PCA算法求取主成分也可以结合。-Matrix eigenvalues and eigenvectors, often to use image processing, such as principal component PCA algorithm can also be combined to strike.
tuxiang-huadong
- matlab程序,对图像做选取3*3矩阵的8邻域与中心特征值的像素差,然后按照不同的方式滑动-matlab program, the selected pixels of the image to make the neighborhood and the center differential 8 eigenvalues 3* 3 matrix, and then slide in different ways
Pattern-Recognition-and-SVM
- 对四分类图像,使用两个提取特征值向量的方法来提取特征,然后使用SVM进行分类识别,里边包含了LIBSVM进行识别时各个参数的变化时的对结果的影响。里面包含完整源代码,在word里。是我的数字图像作业。-Four categories of images, using two feature extraction methods to extract the value of feature vectors, and then use SVM classification and recognit
Machine-Learning-a-Image-Processing
- 这是我另一个同学的关于图像处理与机器学习的作业,对四组图像提取特征值,进行分类识别。LIBSVM.文件里包含代码,及一些参数调试。-This is another of my classmates on image processing and machine learning operations on four sets of image feature extraction values for classification. LIBSVM. File cont
SIFT
- OPENCV,对输入的两幅图像进行特征值提取并且匹配,连线,命令行下以project3.exe 图像1 图像2 方式运行,代码为main.c-SIFT
huidugongshengjuzhen
- 提取图像灰度共生矩阵的四个特征值能量,相关性,熵-Extract images GLCM four energy eigenvalues, correlation, entropy, etc.
8-(3)
- 利用灰度共生矩阵提取图像纹理特征值,然后根据熵值的大小来实现模块大小的选择。 另外,在寻找最佳匹配块时,同时考虑了颜色信息的差异和空间距离的因素。最后,给出了客观评价 图像修复质量的PSNR度量。实验表明,与Criminisi算法相比,该方法得到的修复效果更自然,更符合 人的视觉感知。 关键词:图像修复;纹理合-This paper firstly utilizes gray-level co-occurrence matrix to exti’act image s textu
gabor
- gabor变换,基于matlab的图像处理中特征值提取Image processing, extracting a feature value-Image processing, extracting a feature value
Local_feature
- 图像处理,图像检索,模式识别,机器学习,用于进行模式识别和机器学习的一个关于特征值的详细描述,包括各种图像处理技巧-Image retrieval, machine learning PPT, image processing for pattern recognition
kl
- kl变换. KL变换的流程如下: (1)获取多幅图像的统计特性:图像之间的协方差 (2)获取协方差的特征值和特征向量,从而获取正交核:特征矩阵 (3)图像对应象素点对各个特征向量进行投影运算。-kl transformation
Haar-like
- 本程序实现选定图像的Haar-like特征提取功能,方便学习者能直观的看到各类Haar-like特征值。代码简单易于理解。-The program implements the selected image Haar-like feature extraction function to facilitate the learners can visually see all kinds of Haar-like feature values. Code is simple and easy t
yuanma
- 对多幅图像读取,并求取GLCM的特征值,输出特征值文件-Read on multiple images and GLCM strike eigenvalues eigenvalues output file
jacobi
- 在做图像处理PCA时,用来求特征值特征向量-PCA when doing image processing is used to find the eigenvalues eigenvectors
PCAhuidutux
- 主分量分析在灰度图像中的应用,提取特征值,利于后期的识别-Principal component analysis in grayscale images, extracting characteristic values, which will help to identify the late