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Influence of Illumination on Color based Potato Defect Detection

NOPR - NISCAIR Online Periodicals Repository

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Field Value
 
Title Influence of Illumination on Color based Potato Defect Detection
 
Creator Brar, Amrinder Singh
Singh, Kawaljeet
 
Subject Computer vision
Food quality
Image acquisition
Measurement and instrumentation
Standardization
 
Description 861-869
The global vegetable market demands rigorous quality analysis of potato crops to define their reasonable market price.
Highly accurate machine learning-based automated potato defect detection systems are necessary for this rising global
market. On the other hand, artificial illuminating lamps used in these machine learning systems are decisive in determining
their defect detection accuracy. Artificial illuminating lamps used in these machine learning systems should provide a
perception of color that is as similar as possible to natural potato color. This paper analysed potato skin color measuring
accuracy of seven different illumination lamps (L01 to L07). The analysis used ten potato samples with various defects,
including one healthy potato. Experimental results proved that the lowest Δ𝐸∗was obtained when the Compact Fluorescent
lamp 45W, 6500 Correlated Color Temperature (CCT) (L1) was used as an illuminating lamp. The proposed experimental
study will help to develop machine learning methodologies in future research by generating higher accuracies for potato
defect detection using an L01-type illuminating lamp.
 
Date 2023-08-09T04:21:34Z
2023-08-09T04:21:34Z
2023-08
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/62410
https://doi.org/10.56042/jsir.v82i08.3140
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(08) [August 2023]