Title :
New local edge binary patterns for image retrieval
Author :
Junding Sun ; Guoliang Fan ; Xiaosheng Wu
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
Abstract :
A new method, called local edge binary patterns (LEBP), is introduced in the paper, which takes the advantages of local binary patterns and local edges into account. Furthermore, several extensions to LEBP are also discussed in detail. Center-symmetric local binary pattern (CS-LBP) and direction local binary pattern (D-LBP) are chosen as examples to prove the performance of the new method on two commonly used texture databases. Experimental results show that LEBP can greatly improve the performance of the traditional local binary patterns in texture image retrieval.
Keywords :
image retrieval; image texture; CS-LBP; D-LBP; LEBP method; center-symmetric local binary pattern; direction local binary pattern; local edge binary patterns; texture databases; texture image retrieval; CS-LBP; D-LBP; LEBP; image retrieval;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738827