Feature extraction method based on improved linear LBP operator
文献类型：会议论文
| 作者 | Chen S(陈帅)1,3; Gao L(高亮)1,3 ; Sun YY(孙棪伊)1,2,3
|
| 出版日期 | 2019 |
| 会议日期 | March 15-17, 2019 |
| 会议地点 | Chengdu, China |
| 关键词 | feature extraction structural similarity LBP operator linear features wood grain |
| 页码 | 1536-1540 |
| 英文摘要 | An 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. |
| 源文献作者 | 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 |
| 产权排序 | 1 |
| 会议录 | Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5386-6243-4 |
| WOS记录号 | WOS:000491352900299 |
| 源URL | [http://ir.sia.cn/handle/173321/25231]  |
| 专题 | 沈阳自动化研究所_智能检测与装备研究室 |
| 通讯作者 | Sun YY(孙棪伊) |
| 作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, Liaoning 110016, China |
| 推荐引用方式 GB/T 7714 | Chen S,Gao L,Sun YY. Feature extraction method based on improved linear LBP operator[C]. 见:. Chengdu, China. March 15-17, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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