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Design of a tomato classifier based on machine vision
- Source :
- PLoS ONE, PLoS ONE, Vol 14, Iss 7, p e0219803 (2019)
- Publication Year :
- 2019
-
Abstract
- This paper attempts to design an automated, efficient and intelligent tomato grading method that facilitates the graded selling of the fruit. Based on machine vision, the color images of tomatoes with different morphologies were studied, and the color, shape and size were selected as the key features. On this basis, an automated grading classifier was created based on the surface features of tomatoes, and a grading platform was set up to verify the effect of the classifier. Specifically, the Hue value distributions of tomatoes with different maturities were investigated, and the Hue value ranges were determined for mature, semi-mature and immature tomatoes, producing the color classifier. Next, the first-order Fourier descriptor (1D- FD) was adopted to describe the radius sequence of tomato contour, and an equation was established to compute the irregularity of tomato contour, creating the shape classifier. After that, a linear regression equation was constructed to reflect the relationship between the transverse diameters of actual tomatoes and tomato images, and a classifier between large, medium and small tomatoes was produced based on the transverse diameter. Finally, a comprehensive tomato classifier was built based on the color, shape and size diameters. The experimental results show that the mean grading accuracy of the proposed method was 90.7%. This means our method can achieve automated real-time grading of tomatoes.
- Subjects :
- 0106 biological sciences
Machine vision
Computer Vision
Image Processing
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
Machine Learning
Mathematical and Statistical Techniques
Solanum lycopersicum
Mathematics
Multidisciplinary
Applied Mathematics
Simulation and Modeling
Statistics
Eukaryota
Plants
Cameras
Phenotype
Optical Equipment
Physical Sciences
Fourier descriptor
Medicine
Engineering and Technology
Regression Analysis
Algorithms
Research Article
Quality Control
Computer and Information Sciences
Science
Visual Inspection
Equipment
Linear Regression Analysis
Research and Analysis Methods
Fruits
Tomatoes
Artificial Intelligence
Support Vector Machines
Linear regression
Industrial Engineering
Humans
Statistical Methods
Transverse diameter
Hue
021110 strategic, defence & security studies
business.industry
Organisms
Reproducibility of Results
Biology and Life Sciences
Pattern recognition
Key features
Signal Processing
Artificial intelligence
business
010606 plant biology & botany
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 14
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....e4f9268f6eae598868a39e7e450507c6