Application of computer vision in the detection of chilling injury in bananas
Bananas were chilled at 6°C and the appearance of brown spots when exposed to ambient air, a phenomenon known as chilling injury (CI), was detected using computer vision. The system consisted of a digital colour camera for acquiring images, an illumination set-up for uniform lighting, a computer fo...
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| Format: | Article |
| Language: | English English |
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Universiti Putra Malaysia Press
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28539/ http://psasir.upm.edu.my/id/eprint/28539/1/Application%20of%20computer%20vision%20in%20the%20detection%20of%20chilling%20injury%20in%20bananas.pdf |
| _version_ | 1848846144976715776 |
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| author | Hashim, Norhashila Osman, Azizah Janius, Rimfiel Shitan, Mahendran Abdul Rahman, Russly Zude, Manuela |
| author_facet | Hashim, Norhashila Osman, Azizah Janius, Rimfiel Shitan, Mahendran Abdul Rahman, Russly Zude, Manuela |
| author_sort | Hashim, Norhashila |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Bananas were chilled at 6°C and the appearance of brown spots when exposed to ambient air, a phenomenon known as chilling injury (CI), was detected using computer vision. The system consisted of a digital colour camera for acquiring images, an illumination set-up for uniform lighting, a computer for receiving, storing and displaying of images and software for analyzing the images. The RGB colour space values of the images were transformed into that of HSI colour space which is intuitive to human vision. Visual assessment of CI by means of a browning scale was used as a reference and correlation between this reference values and hue was investigated. Results of the computer vision study successfully demonstrate the potential of the system in substituting visual assessment in the evaluation of CI in bananas. The results indicate significant influence, at α=0.05, of treatment days and temperature on hue. A strong correlation was also found between hue and visual assessment with R>0.85. |
| first_indexed | 2025-11-15T08:58:03Z |
| format | Article |
| id | upm-28539 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T08:58:03Z |
| publishDate | 2013 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-285392015-09-17T04:25:24Z http://psasir.upm.edu.my/id/eprint/28539/ Application of computer vision in the detection of chilling injury in bananas Hashim, Norhashila Osman, Azizah Janius, Rimfiel Shitan, Mahendran Abdul Rahman, Russly Zude, Manuela Bananas were chilled at 6°C and the appearance of brown spots when exposed to ambient air, a phenomenon known as chilling injury (CI), was detected using computer vision. The system consisted of a digital colour camera for acquiring images, an illumination set-up for uniform lighting, a computer for receiving, storing and displaying of images and software for analyzing the images. The RGB colour space values of the images were transformed into that of HSI colour space which is intuitive to human vision. Visual assessment of CI by means of a browning scale was used as a reference and correlation between this reference values and hue was investigated. Results of the computer vision study successfully demonstrate the potential of the system in substituting visual assessment in the evaluation of CI in bananas. The results indicate significant influence, at α=0.05, of treatment days and temperature on hue. A strong correlation was also found between hue and visual assessment with R>0.85. Universiti Putra Malaysia Press 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28539/1/Application%20of%20computer%20vision%20in%20the%20detection%20of%20chilling%20injury%20in%20bananas.pdf Hashim, Norhashila and Osman, Azizah and Janius, Rimfiel and Shitan, Mahendran and Abdul Rahman, Russly and Zude, Manuela (2013) Application of computer vision in the detection of chilling injury in bananas. Pertanika Journal of Science & Technology, 21 (1). pp. 111-118. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2021%20%281%29%20Jan.%202013/09.%20%20Page%20111-118.pdf English |
| spellingShingle | Hashim, Norhashila Osman, Azizah Janius, Rimfiel Shitan, Mahendran Abdul Rahman, Russly Zude, Manuela Application of computer vision in the detection of chilling injury in bananas |
| title | Application of computer vision in the detection of chilling injury in bananas |
| title_full | Application of computer vision in the detection of chilling injury in bananas |
| title_fullStr | Application of computer vision in the detection of chilling injury in bananas |
| title_full_unstemmed | Application of computer vision in the detection of chilling injury in bananas |
| title_short | Application of computer vision in the detection of chilling injury in bananas |
| title_sort | application of computer vision in the detection of chilling injury in bananas |
| url | http://psasir.upm.edu.my/id/eprint/28539/ http://psasir.upm.edu.my/id/eprint/28539/ http://psasir.upm.edu.my/id/eprint/28539/1/Application%20of%20computer%20vision%20in%20the%20detection%20of%20chilling%20injury%20in%20bananas.pdf |