LBP算法的Matlab代码

Contents of LBP: getmapping - returns a structure containing a mapping table for LBP codes. lbp - returns the local binary pattern image or LBP histogram of an image. lbp is both a directory and a function. LBP returns the local binary pattern image or LBP histogram of an image. LBP返回图像的LBP图像或者是图像的LBP直方图（所以得补一下LBP的基本知识） J = LBP(I,R,N,MAPPING,MODE) returns either a local binary pattern coded image or the local binary pattern histogram of an intensity image I. The LBP codes are computed using N sampling points on a circle of radius R and using mapping table defined by MAPPING. I代表图像 R代表环形LBP算法的半径 N代表采样频率 MAPPING？？？ MODE See the getmapping function for different mappings and use 0 for no mapping. Possible values for MODE are getmapping函数有不同的MAPPING参数可以使用或者用0代表不使用 'h' or 'hist' to get a histogram of LBP codes 'h' or 'hist'得到LBP编码的直方图 'nh' to get a normalized histogram 'nh' 得到标准化的直方图 Otherwise an LBP code image is returned. 0 代表LBP灰度图 J = LBP(I) returns the original (basic) LBP histogram of image I 只传入图像的参数，返回原始的LBP直方图 J = LBP(I,SP,MAPPING,MODE) computes the LBP codes using n sampling points defined in (n * 2) matrix SP. The sampling points should be defined around the origin (coordinates (0,0)). SP是（n * 2）维的矩阵 Examples -------- I=imread('rice.png'); mapping=getmapping(8,'u2'); H1=LBP(I,1,8,mapping,'h'); %LBP histogram in (8,1) neighborhood %using uniform patterns subplot(2,1,1),stem(H1); H2=LBP(I); subplot(2,1,2),stem(H2); SP=[-1 -1; -1 0; -1 1; 0 -1; -0 1; 1 -1; 1 0; 1 1]; I2=LBP(I,SP,0,'i'); %LBP code image using sampling points in SP %and no mapping. Now H2 is equal to histogram %of I2.