Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging

Sara Sharifzadeh; Line Katrine Harder Clemmensen; Hanne Løje; Bjarne Kjær Ersbøll

doi:10.1007/978-3-642-38886-6_58

Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging

Sara Sharifzadeh, Line Katrine Harder Clemmensen, Hanne Løje, Bjarne Kjær Ersbøll

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Multispectral imaging is increasingly being used for quality assessment of food items due to its non-invasive benefits. In this paper, we investigate the use of multispectral images of pre-fried carrots, to detect changes over a period of 14 days. The idea is to distinguish changes in quality from spectral images of visible and NIR bands. High dimensional feature vectors were formed from all possible ratios of spectral bands in 9 different percentiles per piece of carrot. We propose to use a multiple hypothesis testing technique based on the Benjamini-Hachberg (BH) method to distinguish possible significant changes in features during the inspection days. Discrimination by the SVM classifier supported these results. Additionally, 2-sided t-tests on the predictions of the elastic-net regressions were carried out to compare our results with previous studies on fried carrots. The experimental results showed that the most significant changes occured in day 2 and day 14.

Original language	English
Title of host publication	Image Analysis : 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013. Proceedings
Publisher	Springer
Publication date	2013
Pages	620-629
ISBN (Print)	978-3-642-38885-9
ISBN (Electronic)	978-3-642-38886-6
DOIs	https://doi.org/10.1007/978-3-642-38886-6_58
Publication status	Published - 2013
Event	18th Scandinavian Conference on Image Analysis (SCIA 2013) - Espoo, Finland Duration: 17 Jun 2013 → 20 Jun 2013 http://hatutus.org/scia2013/

Conference

Conference	18th Scandinavian Conference on Image Analysis (SCIA 2013)
Country/Territory	Finland
City	Espoo
Period	17/06/2013 → 20/06/2013
Internet address	http://hatutus.org/scia2013/

Series	Lecture Notes in Computer Science
Volume	7944
ISSN	0302-9743

Keywords

Multispectral imaging
Multiple hypothesis testing
Segmentation
Food quality assessment
SVM classification
Elastic-net regression

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10.1007/978-3-642-38886-6_58

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title = "Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging",

abstract = "Multispectral imaging is increasingly being used for quality assessment of food items due to its non-invasive benefits. In this paper, we investigate the use of multispectral images of pre-fried carrots, to detect changes over a period of 14 days. The idea is to distinguish changes in quality from spectral images of visible and NIR bands. High dimensional feature vectors were formed from all possible ratios of spectral bands in 9 different percentiles per piece of carrot. We propose to use a multiple hypothesis testing technique based on the Benjamini-Hachberg (BH) method to distinguish possible significant changes in features during the inspection days. Discrimination by the SVM classifier supported these results. Additionally, 2-sided t-tests on the predictions of the elastic-net regressions were carried out to compare our results with previous studies on fried carrots. The experimental results showed that the most significant changes occured in day 2 and day 14.",

keywords = "Multispectral imaging, Multiple hypothesis testing, Segmentation, Food quality assessment, SVM classification, Elastic-net regression",

author = "Sara Sharifzadeh and Clemmensen, {Line Katrine Harder} and Hanne L{\o}je and Ersb{\o}ll, {Bjarne Kj{\ae}r}",

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isbn = "978-3-642-38885-9",

series = "Lecture Notes in Computer Science",

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Sharifzadeh, S, Clemmensen, LKH , Løje, H & Ersbøll, BK 2013, Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging. in Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013. Proceedings. Springer, Lecture Notes in Computer Science, vol. 7944, pp. 620-629, 18th Scandinavian Conference on Image Analysis (SCIA 2013), Espoo, Finland, 17/06/2013. https://doi.org/10.1007/978-3-642-38886-6_58

Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging. / Sharifzadeh, Sara; Clemmensen, Line Katrine Harder ; Løje, Hanne et al.
Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013. Proceedings. Springer, 2013. p. 620-629 (Lecture Notes in Computer Science, Vol. 7944).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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N2 - Multispectral imaging is increasingly being used for quality assessment of food items due to its non-invasive benefits. In this paper, we investigate the use of multispectral images of pre-fried carrots, to detect changes over a period of 14 days. The idea is to distinguish changes in quality from spectral images of visible and NIR bands. High dimensional feature vectors were formed from all possible ratios of spectral bands in 9 different percentiles per piece of carrot. We propose to use a multiple hypothesis testing technique based on the Benjamini-Hachberg (BH) method to distinguish possible significant changes in features during the inspection days. Discrimination by the SVM classifier supported these results. Additionally, 2-sided t-tests on the predictions of the elastic-net regressions were carried out to compare our results with previous studies on fried carrots. The experimental results showed that the most significant changes occured in day 2 and day 14.

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Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging

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