Nighttime rubber tapping line detection in near-range images-Reference-Cited by-同舟云学术

Nighttime rubber tapping line detection in near-range images

Published:2021-06-25 Issue:19 Volume:80 Page:29401-29422
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wongtanawijit Rattachai^ORCID,Khaorapapong Thanate

Funder

Prince of Songkla University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-021-11140-3.pdf

Reference49 articles.

1. Abraham P (1992) Tapping of hevea brasiliensis. Natural Rubber 263

2. Alt H, Scharf L (2008) Computing the hausdorff distance between curved objects. Int J Comput Geometry Appl 18(04):307–320

3. An Feng LW (2018) Automatic integrated rubber tapping and collecting method based on image identification and automatic integrated rubber tapping and collecting device based on image identification

4. An Feng LW (2018) A kind of integrated automatic rubber tapping receipts gluing method and device based on image recognition

5. Benezeth Y, Jodoin PM, Emile B, Laurent H, Rosenberger C (2010) Comparative study of background subtraction algorithms. J Electron Imaging 19(3):033003

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