Image retrieval based on local edge binary pattern
Junding Sun · Journal of Optoelectronics·laser · 2013
In order to describe the image texture feature efficiently,a new extension of local binary pattern(LBP) is proposed for texture image retrieval in this paper.Firstly,a new definition of image local edge is introduced according to the gray-level variation between the central pixel and its neighbors in an image neighborhood.Then,the new method,called local edge binary pattern(LEBP),is presented,which fuses the advantages of LBP and local edge information.After that,the two region operators,center-symmetric local binary pattern(CS-LBP) and direction local binary pattern(D-LBP),are improved to center-symmetric local edge binary pattern(CS-LEBP) and direction local edge binary pattern(D-LEBP) respectively without increasing the computational complexity or feature dimension.Finally,LEBP is further extened by combining with Gabor filter.In order to prove the performance of the descriptors mentioned in the paper,three widely used texture databases are chosen for test.The experimental results prove that CS-LBP and D-LBP can be greatly improved if they combine with the proposed LEBP.Furthermore,the multiresolution operators can get better performance than the traditional LBP with less feature dimension.