DocumentCode
3285292
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
fYear
2013
fDate
15-18 Sept. 2013
Firstpage
4014
Lastpage
4018
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location
Melbourne, VIC
Type
conf
DOI
10.1109/ICIP.2013.6738827
Filename
6738827
Link To Document