Bananas (Musa spp.) are tropical fr

Bananas (Musa spp.) are tropical fruits that exhibit a short shelf
life owing to enzymatic browning during ripening and processing.
Browning has a significant impact on colour, flavour, and texture,
and results in poor quality of banana fruits (Huang et al., 2013).
For this reason, many researchers have tried to delay banana peel
browning using various treatments such as onion extract (Lee,
2007), UV-C (Pongprasert, Sekozawa, Sugaya, & Gemma, 2011),
mild heat (Kamdee, Ketsa, & Doorn, 2009), and modified atmosphere
packaging (Nguyen, Ketsa, & Doorn, 2004).
Colour can be objectively measured using image analysis methods,
also known as computer vision systems (Amodio, Cabezas-
Serrano, Peri, & Colelli, 2011). Image analysis systems play an
important role in food quality evaluations by maintaining accuracy
and consistency while eliminating the subjectivity of manual
inspections (Du & Sun, 2004). For this reason, image analysis has
been used to detect colour changes in many studies (Cho &
Moon, 2014; Iqbal, Valous, Sun, & Allen, 2011; Pace, Cefola,
Renna, & Attolico, 2011; Quevedo et al., 2009). The advantages of
this method are objectivity, non-destructive inspection, and price
efficiency (Brosnan & Sun, 2004).
The process of image analysis involves hardware and software.
A video camera can be used to capture the image. The captured
image is analysed by image analysis software, which is able to perform
various algorithms such as colour space conversion and colour
segmentation. Using these algorithms, the software is able to
calculate colour information for each pixel on the entire surface
of a sample (Wu & Sun, 2013).
Colorimeters have been used extensively in the food industry
for colour measurement. The colorimeter is used to acquire a number
of site measurements and the average of these is the final colour
measurement (Trinderup, Dahl, Jensen, Carstensen, &
Conradsen, 2015). However, when the surface of a sample has nonhomogeneous
colours, it is difficult to measure the whole surface
of the sample, so the measurements are quite unrepresentative
of the whole surface (Wu & Sun, 2013). It is essential to develop
the methods to detect various shapes and colours in food
objectively.
The objective of this study was to evaluate banana peel browning
using image analysis and confirm the accuracy of this method
through comparisons with sensory test, enzyme activity assay and
colorimeter.

ผลลัพธ์ (แอฟริกา) 1:

Piesangs (Musa spp.) Tropiese vrugte wat 'n kort Exhibit Shelf
Life weens ensiematiese Browning tydens rypwording en die verwerking.
Browning het 'n beduidende impak op Kleur, smaak, en tekstuur,
en die resultate in 'n swak gehalte van Banana vrugte (Huang et al. , die 2013th).
om hierdie rede, het baie navorsers probeer om uit te stel piesangskil
Browning met behulp van verskeie behandelings soos ui Uittreksel (Lee,
2007), UV-C (Pongprasert, Sekozawa, Sugaya, & Gemma, 2011),
matige hitte (Kamdee. , Ketsa, & Doorn, 2009), en Gemodifiseerde atmosfeer
verpakking (Nguyen, Ketsa, & Doorn, 2004).
Kan objektief gemeet met behulp van beeld Kleur analisetipes,
ook bekend as Computer Vision Systems (Amodio, Cabezas-
Serrano, Peri, &. Colelli, 2011). Image Analysis Systems speel 'n
belangrike rol in die Food gehalte evaluerings deur die handhawing van akkuraatheid
en konsekwentheid, terwyl die uitskakeling van die handleiding Subjektiwiteit van
inspeksies (Du & Son, die 2004). Om hierdie rede, het Beeld Ontleding
gebruik om Kleur Verandering in baie studies (Cho & spoor
Moon, 2014; Iqbal, Valous, Sun, & Allen, die 2011th; Pace, Cefola,
Renna, & Attolico, 2 011,. Quevedo et al. 2009). Die voordele van
hierdie metode is objektiwiteit, nie-vernietigende inspeksie, prys en
doeltreffendheid (Brosnan & Son, was twee duisend vier).
Die beeld van prosesanalise behels hardeware en sagteware.
'N videokamera kan vang die beeld te gebruik. Die gevang
beeld ontleed deur beeld analise sagteware, wat in staat is om uit te voer
verskeie algoritmes soos Kleur Kleur Space sukses en
segmentering. Die gebruik van hierdie algoritmes, die sagteware is in staat om
Kleur inligting te bereken vir elke pixel op die hele oppervlak
van 'n monster (Sun & Wu, in 2013).
Colorimeters is op groot skaal in die voedselindustrie
vir Kleur meting. Die Colorimeter word gebruik om 'n aantal verkry
van terrein en die gemiddelde van hierdie metings is die Finale Kleur
meting (Trinderup, Dahl, Jensen, Tensen, &
Conradsen, die 2015). Maar wanneer die oppervlak van 'n monster het homogene
kleure, is dit moeilik om die hele oppervlak te meet
van die monster, so die metings is baie onverteenwoordigende
van die hele oppervlak (Sun & Wu, 2013). Dit is noodsaaklik om Ontwikkel
metodes om die verskillende vorms en kleure in Food spoor
objektief.
Die doel van hierdie studie was om te evalueer piesangskil Browning
en analise met behulp van beeld Bevestig die akkuraatheid van hierdie metode
Deur vergelykings met sintuiglike toets, aktiwiteit ensiem toets en
Colorimeter.