This paper presents a new methodology for the estimation of mass and size of high-export-volume Vietnamese fruits (such as cavendish-type bananas and cucumbers), characterized by only its top-view images using image analysis techniques. Most previous works focused on volume estimation using a plurality of cameras in order to infer the three-dimensional information. In this work, we only use a single camera mounted on top of the fruit. A machine learning technique is also used to find the most essential features. We have found that our proposal lead to a relatively small estimation error compared to the results obtained from the measurements using a water-replacement method and a static digital scale. The results indicate that our system shows a great potential to be used in a real industrial setting. Future work will aim to investigate other features such as ripeness and bruises to increase the effectiveness and practicality of the system.
Previous Article in event
Previous Article in session
Next Article in event
Highly efficient fruit mass and size estimation using only top view images
Published:
14 November 2019
by MDPI
in 6th International Electronic Conference on Sensors and Applications
session Applications
Abstract:
Keywords: machine vision; mass estimation; volume; image processing