TY - GEN
T1 - The research on AGV visual guided under strong noise
AU - Zhang, Xiaohong
AU - Yang, Yifan
AU - Xing, Wanli
AU - Zhang, Hong
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd., 2018.
PY - 2018
Y1 - 2018
N2 - In this paper, considering the complexity of AGV working environment, the image filtering, segmentation and graph morphology processing are carried out for the high noise of AGV working environment. To solve the problem of uneven light in the process of AGV travel, a dynamic threshold transfer and segmentation method is proposed, which greatly improves the accuracy and efficiency of the segmentation. At the same time, after extracting the morphological gradient of the marking line, the whole inspection method of image acquisition and the label processing of the boundary are established, and a one-sided fast center line searching algorithm is proposed. Compared with the traditional algorithm, the computation cost is reduced by more than 50%.
AB - In this paper, considering the complexity of AGV working environment, the image filtering, segmentation and graph morphology processing are carried out for the high noise of AGV working environment. To solve the problem of uneven light in the process of AGV travel, a dynamic threshold transfer and segmentation method is proposed, which greatly improves the accuracy and efficiency of the segmentation. At the same time, after extracting the morphological gradient of the marking line, the whole inspection method of image acquisition and the label processing of the boundary are established, and a one-sided fast center line searching algorithm is proposed. Compared with the traditional algorithm, the computation cost is reduced by more than 50%.
KW - Center line extraction
KW - Fast dynamic threshold
KW - Morphological filtering
KW - Strong noise
KW - Visual navigation AGV
UR - https://www.scopus.com/pages/publications/85052217119
U2 - 10.1007/978-981-13-1702-6_4
DO - 10.1007/978-981-13-1702-6_4
M3 - 会议稿件
AN - SCOPUS:85052217119
SN - 9789811317019
T3 - Communications in Computer and Information Science
SP - 35
EP - 44
BT - Image and Graphics Technologies and Applications - 13th Conference on Image and Graphics Technologies and Applications, IGTA 2018, Revised Selected Papers
A2 - Wang, Yongtian
A2 - Peng, Yuxin
A2 - Jiang, Zhiguo
PB - Springer Verlag
T2 - 13th Conference on Image and Graphics Technologies and Applications, IGTA 2018
Y2 - 8 April 2018 through 10 April 2018
ER -