Ground-based Cloud Classification by Learning Stable Local Binary Patterns
Wang Y(王钰); Shi CZ(史存召); Wang CH(王春恒); Xiao BH(肖柏华)
Source PublicationAtmospheric Research
2018
Issue6Pages:74-89
Abstract

Feature selection and extraction is the first step in implementing pattern classification. The same is true for ground-based cloud classification. Histogram features based on local binary patterns (LBPs) are widely used to classify texture images. However, the conventional uniform LBP approach cannot capture all the dominant patterns in cloud texture images, thereby resulting in low classification performance. In this study, a robust feature extraction method by learning stable LBPs is proposed based on the averaged ranks of the occurrence
frequencies of all rotation invariant patterns defined in the LBPs of cloud images. The proposed method is validated with a ground-based cloud classification database comprising five cloud types. Experimental results demonstrate that the proposed method achieves significantly higher classification accuracy than the uniform LBP, local texture patterns (LTP), dominant LBP (DLBP), completed LBP (CLTP) and salient LBP (SaLBP) methods in this cloud image database and under different noise conditions. And the performance of the proposed method is comparable with that of the popular deep convolutional neural network (DCNN) method, but with less computation complexity. Furthermore, the proposed method also achieves superior performance on an independent test data set.

KeywordLocal Binary Patterns Feature Selection And Extraction Texture Image Cloud Classification
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23636
Collection复杂系统管理与控制国家重点实验室_影像分析与机器视觉
Affiliation中国科学院自动化研究所
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang Y,Shi CZ,Wang CH,et al. Ground-based Cloud Classification by Learning Stable Local Binary Patterns[J]. Atmospheric Research,2018(6):74-89.
APA Wang Y,Shi CZ,Wang CH,&Xiao BH.(2018).Ground-based Cloud Classification by Learning Stable Local Binary Patterns.Atmospheric Research(6),74-89.
MLA Wang Y,et al."Ground-based Cloud Classification by Learning Stable Local Binary Patterns".Atmospheric Research .6(2018):74-89.
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