Multi-Scale Segmentation for Ridge Row in Vision Navigation

Jiehao Chen; Honghai Jiang

doi:10.3788/LOP57.081017

[1] Miao S, Wang J J, Li Y L et al. Digital surface model accuracy improvement based on edge line automatic extraction of building laser point cloud[J]. Laser & Optoelectronics Progress, 55, 012803(2018).

[2] Yin Z, Ren G Q, Cheng Z Y et al. Application research of there-dimensional LiDAR in unmanned vehicle environment perception[J]. Laser & Optoelectronics Progress, 56, 130001(2019).

[3] Tu C. Wyk B J V, Djouani K, et al. An efficient crop row detection method for agriculture robots. [C]∥International Congress on Image & Signal Processing. IEEE, 655-659(2015).

[4] García-Santillán I D, Montalvo M, Guerrero J M et al. Automatic detection of curved and straight crop rows from images in maize fields[J]. Biosystems Engineering, 156, 61-79(2017).

[5] Zhang Z B, Luo X W, Zang Y et al. Segmentation algorithm based on color feature for green crop plants[J]. Transactions of the Chinese Society of Agricultural Engineering, 27, 183-189(2011).

[6] Li J B, Chen B Q, Liu Y. Image detection method of navigation route of cotton plastic film mulch planter[J]. Transactions of the Chinese Society for Agricultural Machinery, 45, 40-45(2014).

[7] Zhou J, Ji C Y. Multi-resolution road recognition for vision navigation[J]. Transactions of the Chinese Society for Agricultural Machinery, 34, 124-127(2003).

[8] Zhao B, Mao E R, Mao W H et al. Path recognition for vision navigation system of agricultural vehicle in weed environment[J]. Transactions of the Chinese Society for Agricultural Machinery, 40, 183-186(2009).

[9] Ren S, He K, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 39, 1137-1149(2015).

[10] Redmon J, Farhadi A. YOLO9000: better, faster, stronger. [C]∥IEEE 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - Honolulu, HI (2017.7.21-2017.7.26)., 6517-6525(2017).

[11] Lindeberg T. Scale-space theory: a basic tool for analyzing structures at different scales[J]. Journal of Applied Statistics, 21, 225-270(1994).

[12] Yin M F, Bo Y M, Zhu J L et al. Multi-scale context-aware correlation filter tracking algorithm based on channel reliability[J]. Acta Optica Sinica, 39, 0515002(2019).

[13] Lei W, Lü G Q, Xue Z T et al. Super-resolution reconstruction of images based on multi-scale recursive network[J]. Acta Optica Sinica, 39, 0610001(2019).

[14] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004). http://doi.ieeecomputersociety.org/resolve?ref_id=doi:10.1023/B:VISI.0000029664.99615.94&rfr_id=trans/tp/2008/10/ttp2008101683.htm

[15] He Q Y, Han C J. Image thresholding segmentation with Otsu based on particle swarm optimization algorithm[J]. Journal of Guilin University of Electronic Technology, 26, 355-358(2006).

[16] Zhao F, Jiao L, Liu H. Kernel generalized fuzzy c-means clustering with spatial information for image segmentation[J]. Digital Signal Processing, 23, 184-199(2013).