Volume 9 Number 1 (Jan. 2014)
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JSW 2014 Vol.9(1): 203-210 ISSN: 1796-217X
doi: 10.4304/jsw.9.1.203-210

Combining Local Binary Patterns for Scene Recognition

Minguang Song, Ping Guo
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing 100875, China

Abstract—Recently, spatial principal component analysis of census transform histograms (PACT) was proposed to recognize instance and categories of places or scenes in an image. An improved representation called Local Difference Binary Pattern (LDBP) also was proposed and performed better than that of PACT. LDBP is based on the comparisons between center pixel and its neighboring pixels, but the relationship among neighbor pixels is not considered. In this paper, we propose to combine Local Neighbor Binary Pattern (LNBP) with LDBP to construct a spatial representation for scene recognition, because that LNBP can provide complementary information regarding neighboring pixels for LDBP. Experiments on widely used datasets demonstrate that the performance of image recognition is further improved with proposed method.

Index Terms—scene recognition, spatial pyramid matching, local binary pattern

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Cite: Minguang Song, Ping Guo, "Combining Local Binary Patterns for Scene Recognition," Journal of Software vol. 9, no. 1, pp. 203-210, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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