doi: 10.4304/jsw.9.1.203-210
Combining Local Binary Patterns for Scene Recognition
- 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.
Keywords
- scene recognition
- spatial pyramid match
How to Cite
Minguang Song and Ping Guo, "Combining Local Binary Patterns for Scene Recognition," Journal of Software, vol. 9, no. 1, pp. 203-210, 2014. https://doi.org/ 10.4304/jsw.9.1.203-210
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).