Shuqiang Guo1, *, Baohai Yue1, Manyang Gao2, Xinxin Zhou1, Bo Wang3
CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 233-251, 2020, DOI:10.32604/cmc.2020.010039
Abstract The recycling of glass bottles can reduce the consumption of resources and
contribute to environmental protection. At present, the classification of recycled glass
bottles is difficult due to the many differences in specifications and models. This paper
proposes a classification algorithm for glass bottles that is divided into two stages,
namely the extraction of candidate regions and the classification of classifiers. In the
candidate region extraction stage, aiming at the problem of the large time overhead
caused by the use of the SIFT (scale-invariant feature transform) descriptor in SS
(selective search), an improved feature of HLSN (Haar-like based on SPP-Net)… More >
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