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

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. The...

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Bibliographic Details
Published in:KSII transactions on Internet and information systems 2021, 15(9), , pp.3186-3203
Main Authors: Huang, Weijia, Zhu, Weixing, Zhang, Zhengyan, Guo, Yizheng
Format: Article
Language:English
Subjects:
Image processing
Methods
Object recognition (Computers)
Pattern recognition
Swine
컴퓨터학
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Summary: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. Keywords: Multi-scale local difference directional number, Gabor filter, Pig identification.
ISSN:1976-7277
1976-7277
DOI:10.3837/tiis.2021.09.006