Grasping Point Detection of Randomly Placed Fruit Cluster Using Adaptive Morphology Segmentation and Principal Component Classification of Multiple Features

Grasping Point Detection of Randomly Placed Fruit Cluster Using Adaptive Morphology Segmentation and Principal Component Classification of Multiple Features

Precise and rapid grasping point detection based on machine vision is one of the challenging problems in automatic sorting of randomly placed fruit clusters by robot. Grasping stalk of fruit cluster can improve grasping success probability and reduce fruit damage. For the problem that the segmentati...

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Bibliographic Details
Main Authors: Qian Zhang, Guoqin Gao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Image segmentation
grasping
morphology
machine vision
robots
image classification
Online Access:https://ieeexplore.ieee.org/document/8862834/

Internet

https://ieeexplore.ieee.org/document/8862834/

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