搜索资源列表
threshold
- 阈值分割分各种算法，如基于灰度直方图的阈值分割，迭代阈值分割，最大类间方差阈值分割法，局部阈值法等。-Thresholding of various algorithms, such as histogram-based thresholding, iterative threshold segmentation, Otsu threshold segmentation method, local threshold method.
m13
- 针对户外视频监控存在光照变化这一问题, 提出一个用于准确完成目标检测的实时背景建模框架. 考虑到目标检测 的准确性要求, 建立基于帧间像素亮度差统计直方图的像素亮度扰动阈值. 在此基础上, 针对背景建模的实时性要求, 提出一种基于自回归背景模型的参数快速更新方法. 鉴于不同光照变化的适应性要求, 定义对光照变化不敏感的背景纹理模型. 上述模型统称为自回归{ 纹理(Auto regression and texture, ART) 模型, 该模型适应于户外光照变化. 基于该模型构建像素亮度和纹
HOG_OpenCV
- HOG即histogram of oriented gradient, 是用于目标检测的特征描述子，该技术将图像局部出现的方向梯度次数进行计数，该方法和边缘方向直方图、scale-invariant feature transform类似，不同的是hog的计算基于一致空间的密度矩阵来提高准确率。Navneet Dalal and Bill Triggs首先在05年的CVPR中提出HOG，用于静态图像or视频的行人检测。-HOG i.e. histogram of oriented gradien
Bag-of-visual-words
- SIFT等局部特征的词袋模型实现。包括K-means聚类，直方图特征的形成，以及KNN分类。-SIFT local features such as word bag model implementation. Including K-means clustering to form histogram features, and KNN classification.
LDP
- This code calculated the LDP histogram and is based on B Zhang, Y Gao, S Zhao & J Liu, "Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descr iptor," Image Processing, IEEE Transactions on, vol.19,
lbp
- 计算灰度图像的LBP值，得到图像的统计直方图，进而得到图像的局部纹理特征。-Grayscale images LBP calculated values obtained histogram of the image, and then get local texture features of images.
localminima
- This the program to find the local minima of the histogram and then to find the smooth function of the graph-This is the program to find the local minima of the histogram and then to find the smooth function of the graph
digital-image-processing
- 实现图像的直方图均衡化，直方图匹配，邻域平均，局域增强，中值滤波。-histogram equalization，histogram matching，neighborhood averaging，local enhancement，median filtering
efficientLBP
- efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found
gabor-n-ldp
- this zip file contains matlab implementation for generating gabor filter banks and applying on image directory and then followed by applying local directional pattern for feature extraction and histogram for each image is calculated
zftjhh
- 直方图均衡化，直方图匹配，邻域平均，局域增强，中值滤波-Histogram equalization, histogram matching, neighborhood average, local enhancement, median filtering
25292626
- 为了实现复杂环境下的人脸特征有效表达，提出一种改进的梯度方向直方图（ＨＯＧ）人脸识别方法．首先以人脸图像网格作为采样窗口并在其上提取 ＨＯＧ特征；然后将所有网格 ＨＯＧ特征向量进行组合，实现整个人脸特 征表达；最后采用最近邻分类器进行识别．另外，比较了该方法与Ｇａｂｏｒ小波和局部二值模式（ＬＢＰ）２种著名的人脸 局部特征表示方法的优劣．实验结果表明，在调优的 ＨＯＧ参数下，在具有光照和时间环境等复杂变化的ＦＥＲＥＴ人 脸库中，较少维数的 ＨＯＧ特征比ＬＢＰ特征有更好的表现，而且 ＨＯ
LGBPHS
- 基于局部Gabor变换直方图序列算法，英文原著，适合研究-Local Gabor Binary Pattern Histogram Sequence。
project
- This program gives a program which follows the naive bayes classifier to classify the processed reviews.This used in sentiment classification.n document classification, a bag of words is a sparse vector of occurrence counts of words that is, a sparse
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,
ZFTJHH
- 灰度图像的直方图均衡化的简单实现，包括局部和全局直方图均衡化-Gray-scale image histogram equalization simple implementation, including local and global histogram equalization
shiyan2
- 1、实现直方图均衡算法。 2、实现局域变换增强。（平均平滑、高斯平滑、中指滤波） 3、实现真彩图像转换为灰度图像，实现伪彩色处理-1, the realization of histogram equalization algorithm. 2, to achieve local transformation enhanced. (average smoothing, Gauss smoothing, median filtering) 3, to achieve true co
lbp
- LBP returns the local binary pattern image or LBP histogram of an image.
Histogram_codes
- 基于直方图的水印嵌入和提取实现，各种水印攻击，如重抽样，加噪，滤波，尺度变换，局部裁剪-Based on the histogram of the watermark embedding and extraction to achieve a variety of watermark attacks, such as re sampling, noise, filtering, scale transform, local cropping
Simple-Image-Processing-System
- 1、能对图像文件（bmp、 jpg、 tiff、 gif等）进行打开、保存、另存、打印、退出等功能操作； 2、数字图像的统计信息功能：包括直方图的统计及绘制、区域图的面积、周长的统计、线条图中的距离测量等； 3、数字图像的增强处理功能： （1）空域中的点运算、直方图的均衡化、各种空间域平滑算法（如局部平滑滤波法、中值滤波等）、锐化算法（如梯度锐化法、高通滤波等） （2）频域的各种增强方法：频域平滑、频域锐化、低通滤波、同态滤波等。 （3）色彩增强：伪彩色增强、真彩色增强等