15 November 2017 Feature extraction based on LBP in bar code detection
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Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106052F (2017) https://doi.org/10.1117/12.2293041
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
Abstract
In order to compare the effects of traditional LBP operators and various improved Local Binary Patterns (LBP) operators’ ability on feature extraction and classification. In this paper, the LBP feature is extracted by slidin g window method. The integrity of the texture information extracted by different LBP operators and the com putational complexity and detection effect are compared. The effects of sliding window parameters on the de tection effect is studied respectively.
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Ruming Yang, Ruming Yang, Meng Ding, Meng Ding, Jie Wang, Jie Wang, Xu Zhang, Xu Zhang, } "Feature extraction based on LBP in bar code detection", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106052F (15 November 2017); doi: 10.1117/12.2293041; https://doi.org/10.1117/12.2293041
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