Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method

Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method

Visual navigation is developing rapidly and is of great significance to improve agricultural automation. The most important issue involved in visual navigation is extracting a guidance path from agricultural field images. Traditional image segmentation methods may fail to work in paddy field, for th...

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Bibliographic Details
Main Authors: Yue Yu, Yidan Bao, Jichun Wang, Hangjian Chu, Nan Zhao, Yong He, Yufei Liu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
visual navigation
paddy field
image segmentation
crop row detection
Otsu method
Online Access:https://www.mdpi.com/2072-4292/13/5/901

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