2021
DOI: 10.3390/jimaging7070104
|View full text |Cite
|
Sign up to set email alerts
|

Unsupervised Foreign Object Detection Based on Dual-Energy Absorptiometry in the Food Industry

Abstract: X-ray imaging is a widely used technique for non-destructive inspection of agricultural food products. One application of X-ray imaging is the autonomous, in-line detection of foreign objects in food samples. Examples of such inclusions are bone fragments in meat products, plastic and metal debris in fish, and fruit infestations. This article presents a processing methodology for unsupervised foreign object detection based on dual-energy X-ray absorptiometry (DEXA). A novel thickness correction model is introd… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 25 publications
0
1
0
Order By: Relevance
“…16 Computer vision techniques have been widely adopted for aquaculture farming [17][18][19][20][21][22] and seafood processing industries. [23][24][25][26][27] To realize the realtime or near real-time application and achieve the needed accuracy, 28 artificial intelligence (AI)-driven machine learning and deep learning techniques have been integrated with the computer vision system, such as object detection [29][30][31] and semantic/instance segmentation. [32][33][34] Therefore, it is crucial to develop a robust and efficient computer vision system with the integration of deep learning technique to further automate the catfish cutting process.…”
Section: Introductionmentioning
confidence: 99%
“…16 Computer vision techniques have been widely adopted for aquaculture farming [17][18][19][20][21][22] and seafood processing industries. [23][24][25][26][27] To realize the realtime or near real-time application and achieve the needed accuracy, 28 artificial intelligence (AI)-driven machine learning and deep learning techniques have been integrated with the computer vision system, such as object detection [29][30][31] and semantic/instance segmentation. [32][33][34] Therefore, it is crucial to develop a robust and efficient computer vision system with the integration of deep learning technique to further automate the catfish cutting process.…”
Section: Introductionmentioning
confidence: 99%