2015
DOI: 10.1590/0103-8478cr20141617
|View full text |Cite
|
Sign up to set email alerts
|

Predictive efficiency of distinct color image segmentation methods for measuring intramuscular fat in beef

Abstract: Intramuscular fat (IMF) influences important quality characteristics of meat

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0
1

Year Published

2020
2020
2021
2021

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 13 publications
(10 reference statements)
0
2
0
1
Order By: Relevance
“…The regression coefficient ( R 2 ranging between 0–1) shows the accuracy of a model, whereby if this value is higher than 0.70, it indicates that the model is well adjusted [ 78 ]. All the R 2 values obtained in the present study were above this target value (>0.86).…”
Section: Discussionmentioning
confidence: 99%
“…The regression coefficient ( R 2 ranging between 0–1) shows the accuracy of a model, whereby if this value is higher than 0.70, it indicates that the model is well adjusted [ 78 ]. All the R 2 values obtained in the present study were above this target value (>0.86).…”
Section: Discussionmentioning
confidence: 99%
“…A higher correlation found in a*(0.65) and moisture (0.56) with 'a*' value obtained from imaging technique. The 'b' value resulted from image analysis had a medium correlation with fat (0.33) and TVC (0.37) whereas Mello et al, (2015) measured intramuscular fat and Luo et al, (2018) determined marbling in beef using image processing. The imaging technique, computer vision system was very similar that were used for both the previous works and present study.…”
Section: Correlation Between Computer Vision Technology and Conventiomentioning
confidence: 99%
“…Isso pode ser exemplificado pelos experimentos realizados por vários trabalhos publicados nos últimos anos. Na área de sensoriamento 45 , engenharia 46 , química 47 , produção agrícola 48 , controle de qualidade 49 , entre várias outras, sua aplicação pode trazer bons resultados.…”
Section: Modelagem Computacional Baseada Em Imagens Digitaisunclassified