Date maturity and quality evaluation using color distribution analysis and back projection

Zhang, Dong; Lee, Dah-Jye; Tippetts, Beau; Lillywhite, Kirt

doi:10.1016/j.jfoodeng.2014.02.002

Cited by 42 publications

(28 citation statements)

References 17 publications

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“…It is known that dates quality and maturity stage effects the fruit color [40]. It was found that during the storage at temperature +4 °C, there are significant changes occurred after 180 d. Date fruit color changed from a light brown to a slight dark brown.…”

Section: Sensorial Analysis Of Datesmentioning

confidence: 99%

Low Temperature Refrigeration as an Alternative Anti-Pest Treatment of Dates

Lallouche

Kolodyaznaya

Boulkrane

et al. 2017

Environmental and Climate Technologies

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-Large amounts of dates are produced and consumed around the world each year. Apomyelois ceratoniae causes main losses during storage and export of date fruit. Fumigation is the most widely used treatment to prevent postharvest losses. However, this treatment negatively affects the biological value of dates, environmental and economic parameters of production. Widespread fumigation agent methyl bromide is toxic to a human body and contributes to the destruction of the ozone layer. The aim of the current work was to find a new method based on the use of low temperature refrigeration to reduce the pest and insect infestation preserving the nutritive value of dates during cold storage at the same time. A. ceratoniae mortality under different temperatures and dates respiration rate, sugar, organic acids, pectic substances content and sensorial characteristics were studied. The results indicate that at −18 °С the A. ceratonie larva dies within 2 h, the eggs and larvaewithin 24 h respectively. Thus, it is clearly shown that there is no need in using chemicals or irradiation to prevent dates pests. Physicochemical and organoleptic proprieties of dates were satisfactory during 360 d at −18 °С and during 180 d at +4 °С. The low temperature refrigeration and storage at −18 °С is recommended for dates to prevent pests and quality losses. It is apparently advantageous for environment and climate if compared with other anti-pest treatment variants.

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Section: Sensorial Analysis Of Datesmentioning

confidence: 99%

Low Temperature Refrigeration as an Alternative Anti-Pest Treatment of Dates

Lallouche

Kolodyaznaya

Boulkrane

et al. 2017

Environmental and Climate Technologies

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“…This projection directly encodes the ripeness of the fruits as gray value. In a later publication, Zhang et al simplified the process by non-parametrically estimating a back-projection table that directly maps RG-values to a ripeness level [13]. The table is built by collecting characteristic joint red and green histograms of four maturity grades and then fusing the histograms into a single lookup-table.…”

Section: Related Workmentioning

confidence: 99%

“…Lee's method [8] requires the color distribution of each class to be (approximately) supported on a onedimensional connected manifold. The back-projection approach by Zhang et al [13] alleviate this issue, but the construction of the lookup table is strictly tailored to grading date maturity and not directly applicable to other tasks.…”

Section: Related Workmentioning

confidence: 99%

“…The classification performance for a given parameter vector is measured by averaging Matthews correlation coefficient (MCC) [10] over the folds of a stratified ten-fold cross validation. With , , and denoting the number of true positive, false positive, true negative and false negative classifications, MCC for is calculated as MCC = (13) − √( + )( + )( + )( + )…”

Section: Applicationmentioning

confidence: 99%

See 1 more Smart Citation

An approach to color-based sorting of bulk materials with automated estimation of system parameters

Richter¹,

Längle

Beyerer³

2015

Tm - Technisches Messen

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In diesem Paper stellen wir eine flexible Methode zur farb-basierten Schüttgutsortierung vor. Sie stützt sich auf semantisch bedeutsame Farbmerkmale, welche mit Hilfe von Beispielbildern konstruiert werden. Im ersten Schritt werden Farb-Auftrittshäufigkeiten verschiedener Materialien bestimmt, welche zu Farbklassen zusammengeführt werden. Diese werden anschließend dazu genutzt um einzelne Pixel zu klassifizieren. Objekte werden schließlich durch eine Häufigkeitsstatistik der in den Objekten enthaltenen Farbklassen charakterisiert. Dieser Deskriptor hat viele Vorteile: er ist kompakt und schnell zu berechnen, invariant gegenüber Skalierung und Rotation, klar und intuitiv interpretierbar und kann mit einfachen regelbasierten Klassifikatoren genutzt werden. Allerdings ist die Anpassung der Parameter, die die Merkmalskonstruktion steuern, mitunter zeitaufwändig und setzt viel Erfahrung auf Seiten des Systemoperators voraus. Wir umgehen diesen Nachteil indem wir Genetische Algorithmen einsetzen um die Parameter automatisch zu lernen. Wir validieren diese Vorgehen anhand von Weintraubensortierproblemen und zeigen, dass der Ansatz bessere Ergebnisse liefert als ein menschlicher Experte. Gleichzeitig benötigt der Ansatz deutlich weniger Zeit und benötigt keine Überwachung durch den Experten. Weiterhin erlaubt unser Ansatz auch Nicht-Experten eine Sortiermaschine erfolgreich in Betrieb zu nehmen

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“…For three classes model the mean classification accuracy from 68% to 86% and similarly for two-class model mean classification accuracy from 83% to 96% achieved. D. Zhang et al [14] proposed an approach for date quality evaluation based on color distribution analysis and back projection approach. Fruits are placed on the blue color plastic belt, and background is subtracted using threshold based segmentation.…”

Section: Related Workmentioning

confidence: 99%