Structured Local Binary Haar pattern for graphics retrieval

Author

Song-Zhi Su ; Shao ZiLi ; Chen, Shu-Yuan ; Li, Shao-Zi ; Duh, Der-Jyh

Author_Institution

Cognitive Sci. Dept., Fujian Key Lab. of Brain-Like Intell. Syst., Xiamen Univ., Xiamen, China

Volume

2

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

670

Lastpage

674

Abstract

Feature extraction is an important issue in graphics retrieval. Local feature based descriptors are currently the predominate method used in image retrieval and object recognition. Inspired by the success of Haar feature and Local Binary Pattern (LBP), a novel feature named structured local binary Haar pattern (SLBHP) is proposed for graphics retrieval in this paper. SLBHP encodes the polarity instead of the magnitude of the difference between accumulated gray values of adjacent rectangles. Experimental results on graphics retrieval show that the discriminative power of SLBHP is better than those of using edge points (EP), Haar feature, and LBP even in noisy condition.

Keywords

Haar transforms; feature extraction; image retrieval; object recognition; adjacent rectangles; feature extraction; graphics retrieval; gray values; image retrieval; local binary pattern; local feature based descriptor; object recognition; structured local binary Haar pattern; Image recognition; Haar; graphics retrieval; local binary pattern; structured local binary haar pattern;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658454

Filename

5658454