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Feature extraction method based on improved linear LBP operator
Sun YY(孙棪伊)1,2,3; Chen S(陈帅)1,3; Gao L(高亮)1,3
Department智能检测与装备研究室
Conference Name3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
Conference DateMarch 15-17, 2019
Conference PlaceChengdu, China
Author of SourceChengdu Global Union Academy of Science and Technology ; Chongqing Geeks Education Technology Co., Ltd ; Chongqing Global Union Academy of Science and Technology ; Global Union Academy of Science and Technology ; IEEE Beijing Section
Source PublicationProceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
PublisherIEEE
Publication PlaceNew York
2019
Pages1536-1540
Indexed ByEI ; CPCI(ISTP)
EI Accession number20192607109584
WOS IDWOS:000491352900299
Contribution Rank1
ISBN978-1-5386-6243-4
Keywordfeature extraction structural similarity LBP operator linear features wood grain
AbstractAn improved wood texture feature description algorithm of Local Binary Pattern operator is proposed. Firstly, the linear LBP operator is used to extract the texture features of the image. Then, the similarity between textures is calculated for the sub-region of the wood image. Because of the extremely high texture similarity of the striped wood, this method can be used to quickly and accurately distinguish the two types of images of stripes and patterns. Experimental results show that the algorithm has strong ability to describe wood texture features, is more robust than traditional methods, and has higher recognition accuracy.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25231
Collection智能检测与装备研究室
Corresponding AuthorSun YY(孙棪伊)
Affiliation1.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, Liaoning 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
Recommended Citation
GB/T 7714
Sun YY,Chen S,Gao L. Feature extraction method based on improved linear LBP operator[C]//Chengdu Global Union Academy of Science and Technology, Chongqing Geeks Education Technology Co., Ltd, Chongqing Global Union Academy of Science and Technology, Global Union Academy of Science and Technology, IEEE Beijing Section. New York:IEEE,2019:1536-1540.
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