资源列表
IMAGE-YUANDAIMA
- 好多源代码，灰度转换，对比度拉伸，傅里叶变换，中值滤波，维纳滤波等。-A lot of source code, grayscale conversion, contrast stretching, Fourier transform, median filtering, Wiener filtering.
NLmeansfilter
- nlm算法，图像处理中的非局部均值滤波算法，matlab运行，很好的算法。-nlm algorithm, image processing non-local means filtering algorithm, matlab running, good algorithm.
image-yuandaima
- 使用灰度图像对各种去噪方法进行测试，使用半软阈值方法对图像进行去噪，均值滤波方法进行去噪(对比用)，计算灰度图像的峰值信噪比。-Use grayscale images on a variety of methods of noise attenuation test, using a semi-soft threshold method for image denoising, denoising mean filtering method (Comparative), calculate t
wavlet
- 原图像，加噪图像，小波变换去噪图像的对比以及当前的psnr值。-The original image, add image noise, contrast and image de-noising wavelet transform current psnr value.
XIAOBOFAZHI
- 实现小波阈值，frost滤波器,低通滤波消噪,小波分解结构进行阈值处理,中值滤波.-Wavelet threshold, frost filter, low-pass filtering de-noising, wavelet decomposition structure by performing threshold processing, median filtering.
LBP
- LBP（Local Binary Pattern，局部二值模式）是一种用来描述图像局部纹理特征的算子；它具有旋转不变性和灰度不变性等显著的优点。它是首先由T. Ojala, M.Pietikä inen, 和 D. Harwood 在1994年提出，用于纹理特征提取。而且，提取的特征是图像的局部的纹理特征；-LBP (Local Binary Pattern, local binary pattern) is an image used to describe the local te
LGBP
- 一种在Gabor变换幅值域内提取局部变化模式空间直方图序列(histogram sequence of local Gabor binary patterns,简称HSLGBP)的人脸描述及其识别方法.-A Gabor transform domain amplitude variation patterns extracted partial sequence space histogram (histogram sequence of local Gabor binary patterns,
PCA
- PCA（Principal Component Analysis）不仅仅是对高维数据进行降维，更重要的是经过降维去除了噪声，发现了数据中的模式。 PCA把原先的n个特征用数目更少的m个特征取代，新特征是旧特征的线性组合，这些线性组合最大化样本方差，尽量使新的m个特征互不相关。从旧特征到新特征的映射捕获数据中的固有变异性。-PCA (Principal Component Analysis) is not just for high-dimensional data dimensiona
SRC
- SRC-sparse representation-based classifier .基于稀疏表达的分类。-SRC-sparse representation-based classifier. Based on the sparse expression classification.
ditu
- 江苏省地面站点数据插值面分布图，使用griddata插值出70站点数据情况-griddata of jiangsu rainfall
HSC_Train
- 基于HSC特征，对图片进行行人检测，样本需要归一化-HSC-based feature, the picture pedestrian detection, the sample needs to normalization
chongcaiyang
- 重采样操作包括缩放、旋转和拉伸等变换，通常的重采样分为下采样、插值、上采样三个基本过程，此程序为重采样的matlab实现-Resampling operations include scaling, rotation and stretching transforms the usual resampling into down-sampling, interpolation, sampling on three basic processes, resampling procedure for