搜索资源列表
my_texture
- 纹理分析，利用经典的LBP纹理分析算法实现matlab的对一幅彩色图象的纹理分析-texture analysis, use classic LBP texture analysis algorithm for a Matlab color image texture analysis
LBP_algorithm_picture_tuxture_classify
- LBP算法实现图像的纹理分类,很简单，很经典-LBP_algorithm_picture_tuxture_classify
lbp
- LBP（局部二值模式）算法最初用于描述纹理，后引用到人脸，可描述人脸特征。-lbp
lbp
- local binary patterns用来描述图像纹理的一个算子-local binary patterns used to describe the texture of an operator
LBP
- 本代码为经过优化后的LBP纹理描述子提取代码，非常适合学习该算法的人-After optimization of the code for the LBP texture descr iptor extraction code, the algorithm is very suitable for people to learn
LBP
- 对一块图像区域提取LBP纹理特征，该图像区域可以是一整幅图像，也可以是图像中的一块区域。-On a piece of extract LBP texture characteristics of image region, the image region can be a whole image, may also be an area in the image.
LBP--background-modeling-source-code
- 基于LBP纹理算子的背景建模，以及对应的参考文献。-LBP texture operator based background modeling, as well as the corresponding references.
LBP
- 提取图像的lbp纹理特征，然后进行向量表示- Lbp extracted texture features of the image, and then vector representation
lbp
- LBP纹理特征的提取方法，matlab描述-LBP texture feature extraction method, matlab descr iption
LBP-texture-classification
- 这是利用LBP纹理模型进行纹理分类，运行过，效果不错，-This is the use of LBP texture model for texture classification, run over, the effect is good,
Gabor-GMRF-LBP
- Gabor,GMRF,LBP纹理特征提取方法_MATLAB,可以用来提取图像特征，用来做图像识别和分类-Gabor, GMRF, LBP texture feature extraction method _MATLAB, can be used to extract image features, used to do image recognition and classification
LBP算法实现图像的纹理分类
- 用LBP（局部二值模式）在MATLAB平台实现纹理分类(Using LBP to achieve texture classification in MATLAB platform)
LBP
- 这是LBP的程序代码，用于提取纹理特征，转载而来，供学习交流。(this is the code of LBP, and it is used to extract features,it's reproduced from others.)
LBP
- 利用LBP高程纹理进行特征提取，主要用于遥感图像(LBP elevation texture feature extraction, mainly used for remote sensing images)
lbp
- 图像lbp值的计算，图像纹理特征的提取。(The calculation of image LBP value and the extraction of image texture features.)
局部二值模式LBP
- lbp实现图像的特征提取，可得到图像的直方图特征。(LBP realizes the image feature extraction, and can get the histogram features of the image)
LBP
- LBP（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.Pietik?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；(Local Binary Pattern describe the image local texture, invariant with the change of rotation and gray)
LBP
- LBP方法（Local binary patterns）是一个计算机视觉中用于图像特征分类的一个方法。LBP方法在1994年首先由T. Ojala, M.Pietik?inen, 和 D. Harwood 提出[43][44]，用于纹理特征提取。(The LBP method (Local binary patterns) is a method for classification of image features in a computer vision. The LBP method f
LBP算法程序
- 原始的LBP算子定义在像素3*3的邻域内，以邻域中心像素为阈值，相邻的8个像素的灰度值与邻域中心的像素值进行比较，若周围像素大于中心像素值，则该像素点的位置被标记为1，否则为0。这样，3*3邻域内的8个点经过比较可产生8位二进制数，将这8位二进制数依次排列形成一个二进制数字，这个二进制数字就是中心像素的LBP值，LBP值共有2828种可能，因此LBP值有256种。中心像素的LBP值反映了该像素周围区域的纹理信息。(The original LBP operator is defined in t
1纹理特征
- 对图像纹理特征进行提取，包括灰度共生矩阵、Lbp、小波等(Texture feature extraction of image, including gray level co-occurrence matrix, Lbp, wavelet and so on)