Improved Mask R-CNN Combined with Otsu Preprocessing for Rice Panicle Detection and Segmentation

Improved Mask R-CNN Combined with Otsu Preprocessing for Rice Panicle Detection and Segmentation

Rice yield is closely related to the number and proportional area of rice panicles. Currently, rice panicle information is acquired with manual observation, which is inefficient and subjective. To solve this problem, we propose an improved Mask R-CNN combined with Otsu preprocessing for rice detecti...

Full description

Bibliographic Details
Main Authors: Shilan Hong, Zhaohui Jiang, Lianzhong Liu, Jie Wang, Luyang Zhou, Jianpeng Xu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
rice panicles
instance segmentation
Mask R-CNN
image processing
model optimization
Online Access:https://www.mdpi.com/2076-3417/12/22/11701

Internet

https://www.mdpi.com/2076-3417/12/22/11701

Similar Items