搜索资源列表
quec6.m
- KL transfrom of an image using matlab
KLaDCT
- KL变换和DCT变换比较分析 在matlab环境下的比较仿真-KL&DCT
KL
- K-L变换 特征提取 三个特征 提取两个-KL transform feature extraction are two of three feature extraction
KL
- 基于KL的人脸识别程序,但是缺少图像数据库,需要自己下载。-KL-based face recognition program, but the lack of image database, you need to download.
KL
- 用MATLAB仿真KL变换,并与DCT变换进行了比较-KL transform using MATLAB simulation and a comparison with the DCT transform
KL
- 基于KL变换的特征提取的方法。 选取数据库中的部分样本(每个人的前5张图片)作为训练样本,其余作为未知的测试样本。从训练样本中得到KL变换矩阵,然后对训练样本和测试样本都进行变换,用变换后的数据作最近邻识别,距离可以为对应灰度值之差的平方和,统计识别率。-KL transform based feature extraction method. Select the database part of the sample (each
KL
- matlab实现的K-L变换实现主成分分析-matlab implementation of KL transform PCA
Face-Recognition-Based-on-KL-changes
- 基于KL变化的人脸识别,简单易懂,稍改就能用-Face Recognition Based on KL changes
kl
- KL变换滤波,matlab程序,用于地震资料处理-KL transform filter, matlab program for seismic data processing
KL
- matlab做KL(Karhunen-Loeve)变换,人脸识别-Karhunen-Loeve, for face recognition
KL
- 使用K-L算法进行特征变换,画出结果图像-Feature transformation, using the KL algorithm to draw the resulting image
KL-recognition-algorithm
- KL识别算法,主要用于人脸识别方面的应用。-KL recognition algorithm
KL-transform-for-feature-extraction
- KL变换进行特征提取,对样本集进行KL变换提取特征-KL transform for feature extraction
KL-face-recognition
- 基于KL变换的人脸识别,综合运用模式识别和图像处理的相关知识-KL face recognition
homeworkofimageprocessing
- 数字图像处理作业,包括:bmp图像的读取,图像的缩放,直方图均衡化等操作的c代码,还有一些关于傅里叶变换,KL变换,哈达吗变换,huffman编码的习题。可以供学习这门课程的同学参考学习。-Digital image processing operations, including: bmp image reading, image scaling, histogram equalization, and other operation
KL-transform-procedure
- KL变换的程序,KL transform procedure,matlab源码-KL transform procedure using Matlab
KL
- 模式识别里的KL变换的代码,应用Iris数据集实现KL变换算法。-KL transform code, pattern recognition application Iris data set KL transform algorithm.
KL-transform
- 现代数字图像处理技术提高及应用案例详解(matlab版 3.22 基于KL变换的人脸识别技术-Modern digital image processing technology and application case explanation (matlab version 3.22 facial recognition technology based on KL transform
KL
- kl变换算法的原理介绍 以及在图像层面额应用原理-Introduce the principle of KL transform algorithm and application principle of the image layer denomination
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