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| Adjacent Local Binary Patterns Based on Color Space Fusion for Color Image Classification |
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Abstract In this paper, we propose an improved image feature descriptor based
on Local Binary Pattern, which is called Adjacent Local Binary
Patterns based on Color Space Fusion (ALBPCSF). The proposed method
fuses color feature and spatial relations. ALBPCSF uses the channel
values of RGB and HSV color spaces to calculate the color feature.
Then the proposed method considers the spatial relations which will
be combined with the color feature. Finally, an image classification
system framework based on ALBPCSF is given. In order to validate the
performance, our method is compared with previous methods on Corel
1000 and MIT Vision Texture datasets. The results show that our
approach is superior than other methods in color image
classification.
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| Cite this article: |
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Shengsheng Wang,Dezhi Huang,Haiyang Jia, et al. Adjacent Local Binary Patterns Based on Color Space Fusion for Color Image Classification[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(4): 783-790.
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2015, Vol. 8 
