搜索资源列表
PLBP
- VC实现PLBP(分块LBP)算法,包括原始LBP算法,图像分块,中值滤波,统计直方图等具体功能-VC achieve PLBP (block LBP) algorithm, including the original LBP algorithm, the image block, median filtering, histogram and other specific functions
TextureLBP
- LBP纹理特征提取算法。首先将检测窗口划分为16×16的小区域（cell），对于每个cell中的一个像素，将其环形邻域内的8个点（也可以是环形邻域多个点，如图 3‑ 4. 应用LBP算法的三个邻域示例所示）进行顺时针或逆时针的比较，如果中心像素值比该邻点大，则将邻点赋值为1，否则赋值为0，这样每个点都会获得一个8位二进制数（通常转换为十进制数）。然后计算每个cell的直方图，即每个数字（假定是十进制数）出现的频率（也就是一个关于每一个像素点是否比邻域内点大的一个二进制序列进行统计），然
analyzeNonUniformPattern
- Code takes two images-detect faces-transform them into feature with LBP-calculates histogram according to LBP codes and compare histograms you can change the parameters that how many pieces you want to fall the face to or change LBP parameters
spattempLBP
- 时空局部二值模式，不仅采用的空间信息，也采用了时间信息，采用前后三帧图像的8领域像素与中心像素比较，大于为一，反之为0，然后分别采用锯齿形和螺旋形方式进行排列得到灰度值-LBP is proposed by Ojalaet al.in 1994. And it has been found to be a valuable texture feature. As Fig.2 shows, LBP is calculated one pixel by another. For each
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
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
lbp_various
- 各种LBP算法的代码，可以只管看到中间结果，不需要生成直方图-Various LBP algorithm code, you can just see the intermediate results, no need to generate a histogram
histology-image-classification
- this code product to classification of blood histology images.texture and color features used to patterns extraction and classified using SVM (support vector machine). texture features extracted with SRF gradient and LBP operator and to color feature
LBPH_Sub_Functions
- LBP histogram which treats the different orientation
参考文献
- 四种算法的织物疵点检测论文，LBP，灰度共生矩阵，直方图统计，Gabor滤波器(Four algorithms of fabric defect detection paper, LBP, grayscale symbiotic matrix, histogram statistics, Gabor filter)