Research on the Boundary Recognition of Self-Walking Agriculture Machine Based on Vision

被引：0

作者：

Li, Yibo ^{[1
]}

Wang, Qiushi ^{[1
]}

机构：

[1] Shenyang Aerosp Univ, Shenyang, Liaoning, Peoples R China

来源：

PROCEEDINGS OF ICRCA 2018: 2018 THE 3RD INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION / ICRMV 2018: 2018 THE 3RD INTERNATIONAL CONFERENCE ON ROBOTICS AND MACHINE VISION | 2018年

关键词：

Gabor; Uniform Pattern of LBP; KFCM; Fuzzy weighted; Extreme Learning Machine;

D O I：

10.1145/3265639.3265675

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The boundary recognition algorithm of self-walking agricultural machine based on vision was proposed in this paper, which combined 2D-gabor with uniform pattern of LBP to extract the texture features of boundary area. After that, an algorithm that fuzzy extreme learning machine based on KFCM was presented to improve the accuracy of boundary recognition. The experiment result shows that the proposed method is effective in classifying the boundary of the working area in the process of self-walking agriculture tractor, and owns highaccuracy.

引用

页码：240 / 244

页数：5

共 12 条

[1] Forman G., 2003, Journal of Machine Learning Research, V3, P1289, DOI 10.1162/153244303322753670
[2] Huang GB., 2005, INT J INF TECHNOL, V11, P16
[3] Extreme learning machine: Theory and applications
Huang, Guang-Bin
Zhu, Qin-Yu
Siew, Chee-Kheong
[J]. NEUROCOMPUTING, 2006, 70 (1-3) : 489 - 501
[4] Li Nan, RES MACHINE VISION B
[5] Liu Yu Xi, RES TARGET RECOGNITI
[6] Ojala T, 2002, P 12 INT C PATT REC, P582
[7] Peng Yang, 2004, P 6 IEEE INT C, DOI [10.1109/AFGR.2004.13015, DOI 10.1109/AFGR.2004.13015]
[8] Wang S., 2008, Techniques of Automation and Applications, V27, P44, DOI 10.3969/j.issn.1003-7241.2008.07.014
[9] Wang Yi, 2009, MICROEL ECTRONICS CO, V26
[10] YANG Jinlong, 2015, MECH ELECT ENG, V32, P1443

← 1 2 →