Online Measuring and Size Sorting for Perillae Based on Machine Vision
Open Access
- 13 January 2020
- journal article
- research article
- Published by Hindawi Limited in Journal of Sensors
- Vol. 2020, 1-8
- https://doi.org/10.1155/2020/3125708
Abstract
Online Measuring and Size Sorting for Perillae Based on Machine Vision: Perillae has attracted an increasing interest of study due to its wide usage for medicine and food. Estimating quality and maturity of a perillae requires the information with respect to its size. At present, measuring and sorting the size of perillae mainly depend on manual work, which is limited by low efficiency and unsatisfied accuracy. To address this issue, in this study, we develop an approach based on the machine vision (MV) technique for online measuring and size sorting. The geometrical model and the corresponding mathematical model are built for perillae and imaging, respectively. Based on the built models, the measuring and size sorting method is proposed, including image binarization, key point determination, information matching, and parameter estimation. Experimental results demonstrate that the average time consumption for a captured image, the average measuring error, the variance of measuring error, and the overall sorting accuracy are 204.175ms, 1.48mm, 0.07mm, and 93, respectively, implying the feasibility and satisfied accuracy of the proposed approach.Keywords
Funding Information
- National Key Research and Development Project (2017YFD0401305)
This publication has 16 references indexed in Scilit:
- Applications of Non-destructive Technologies for Agricultural and Food Products Quality InspectionSensors, 2019
- Luteolin suppresses inflammation through inhibiting cAMP-phosphodiesterases activity and expression of adhesion molecules in microvascular endothelial cellsInflammopharmacology, 2018
- Anti-inflammatory effects of Perillae Herba ethanolic extract against TNF-α/IFN-γ-stimulated human keratinocyte HaCaT cellsJournal of Ethnopharmacology, 2018
- Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A reviewFood Research International, 2014
- A new approach to aflatoxin detection in chili pepper by machine visionComputers and Electronics in Agriculture, 2012
- A real-time mathematical computer method for potato inspection using machine visionComputers & Mathematics with Applications, 2012
- Quality Inspection and Grading of Agricultural and Food Products by Computer Vision-a ReviewInternational Journal of Computer Applications, 2010
- Rosmarinic Acid from Perillae Herba Produces an Antidepressant-Like Effect in Mice through Cell Proliferation in the HippocampusBiological & Pharmaceutical Bulletin, 2008
- Inspection and grading of agricultural and food products by computer vision systems—a reviewComputers and Electronics in Agriculture, 2002
- Machine vision technology for agricultural applicationsComputers and Electronics in Agriculture, 2002