• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Multi-scale Local Difference Directional Number Pattern for Group-housed Pigs Recognition

Vol. 15, No. 9, September 30, 2021
10.3837/tiis.2021.09.006, Download Paper (Free):

Abstract

In this paper, a multi-scale local difference directional number (MLDDN) pattern is proposed for pig identification. Firstly, the color images of individual pig are converted into grey images by the most significant bits (MSB) quantization, which makes the grey values have better discrimination. Then, Gabor amplitude and phase responses on different scales are obtained by convoluting the grey images with Gabor masks. Next, by calculating the main difference of local edge directions instead of traditionally edge information, the directional numbers of Gabor amplitude and phase responses are encoded. Finally, the block histograms of the encoded images are concatenated on each scale, and the maximum pooling is adopted on different scales to avoid the high feature dimension. Experimental results on two pigsties show that MLDDN impressively outperforms the other widely used local descriptors.


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Cite this article

[IEEE Style]
W. Huang, W. Zhu, Z. Zhang and Y. Guo, "Multi-scale Local Difference Directional Number Pattern for Group-housed Pigs Recognition," KSII Transactions on Internet and Information Systems, vol. 15, no. 9, pp. 3186-3203, 2021. DOI: 10.3837/tiis.2021.09.006.

[ACM Style]
Weijia Huang, Weixing Zhu, Zhengyan Zhang, and Yizheng Guo. 2021. Multi-scale Local Difference Directional Number Pattern for Group-housed Pigs Recognition. KSII Transactions on Internet and Information Systems, 15, 9, (2021), 3186-3203. DOI: 10.3837/tiis.2021.09.006.

[BibTeX Style]
@article{tiis:24929, title="Multi-scale Local Difference Directional Number Pattern for Group-housed Pigs Recognition", author="Weijia Huang and Weixing Zhu and Zhengyan Zhang and Yizheng Guo and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2021.09.006}, volume={15}, number={9}, year="2021", month={September}, pages={3186-3203}}