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

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 introduced as a pre-processing technique for DEXA data. The aim of the model is to homogenize regions in the image that belong to the food product and to enhance contrast where the foreign object is present. In this way, the segmentation of the foreign object is more robust to noise and lack of contrast. The proposed methodology was applied to a dataset of 488 samples of meat products acquired from a conveyor belt. Approximately 60% of the samples contain foreign objects of different types and sizes, while the rest of the samples are void of foreign objects. The results show that samples without foreign objects are correctly identified in 97% of cases and that the overall accuracy of foreign object detection reaches 95%.

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Targeted Silver Nanoparticles for Dual-Energy Breast X-Ray Imaging

10.21236/ada591279 ◽

2013 ◽

Cited By ~ 1

Author(s):

Andrew D. Maidment

Keyword(s):

Silver Nanoparticles ◽

Dual Energy ◽

X Ray ◽

X Ray Imaging

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Rapid Foreign Object Detection System on Seaweed Using VNIR Hyperspectral Imaging

Sensors ◽

10.3390/s21165279 ◽

2021 ◽

Vol 21 (16) ◽

pp. 5279

Author(s):

Dong-Hoon Kwak ◽

Guk-Jin Son ◽

Mi-Kyung Park ◽

Young-Duk Kim

Keyword(s):

Object Detection ◽

Real Time ◽

Hyperspectral Imaging ◽

High Speed ◽

Detection System ◽

Imaging Techniques ◽

Foreign Object ◽

Subtraction Method ◽

Foreign Objects ◽

Time Operation

The consumption of seaweed is increasing year by year worldwide. Therefore, the foreign object inspection of seaweed is becoming increasingly important. Seaweed is mixed with various materials such as laver and sargassum fusiforme. So it has various colors even in the same seaweed. In addition, the surface is uneven and greasy, causing diffuse reflections frequently. For these reasons, it is difficult to detect foreign objects in seaweed, so the accuracy of conventional foreign object detectors used in real manufacturing sites is less than 80%. Supporting real-time inspection should also be considered when inspecting foreign objects. Since seaweed requires mass production, rapid inspection is essential. However, hyperspectral imaging techniques are generally not suitable for high-speed inspection. In this study, we overcome this limitation by using dimensionality reduction and using simplified operations. For accuracy improvement, the proposed algorithm is carried out in 2 stages. Firstly, the subtraction method is used to clearly distinguish seaweed and conveyor belts, and also detect some relatively easy to detect foreign objects. Secondly, a standardization inspection is performed based on the result of the subtraction method. During this process, the proposed scheme adopts simplified and burdenless calculations such as subtraction, division, and one-by-one matching, which achieves both accuracy and low latency performance. In the experiment to evaluate the performance, 60 normal seaweeds and 60 seaweeds containing foreign objects were used, and the accuracy of the proposed algorithm is 95%. Finally, by implementing the proposed algorithm as a foreign object detection platform, it was confirmed that real-time operation in rapid inspection was possible, and the possibility of deployment in real manufacturing sites was confirmed.

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Novelty detection of foreign objects in food using multi-modal X-ray imaging

Food Control ◽

10.1016/j.foodcont.2016.02.023 ◽

2016 ◽

Vol 67 ◽

pp. 39-47 ◽

Cited By ~ 18

Author(s):

Hildur Einarsdóttir ◽

Monica Jane Emerson ◽

Line Harder Clemmensen ◽

Kai Scherer ◽

Konstantin Willer ◽

...

Keyword(s):

Novelty Detection ◽

X Ray ◽

Foreign Objects ◽

X Ray Imaging

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Elemental Mapping Of Bone Strontium In Rats Treated With Strontium Ranelate And Strontium Citrate Using 2D Micro-XRF And 3D Dual Energy K-edge Subtraction X-ray Imaging

10.32920/ryerson.14656218 ◽

2021 ◽

Author(s):

Daniel Arturo Cardenas

Keyword(s):

Strontium Ranelate ◽

Dual Energy ◽

Therapeutic Effects ◽

Sprague Dawley ◽

Treatment Of Osteoporosis ◽

3D Images ◽

X Ray ◽

X Ray Imaging ◽

Sprague Dawley Rats ◽

Animal Bones

Strontium-based medications, such as strontium ranelate, have been shown to have therapeutic effects in the treatment of osteoporosis, other strontium salts are assumed to have similar effects on bone health. The objective of this study was to compare the distribution of strontium in animal bones following administration of strontium ranelate and strontium citrate. Humerus bones were collected from female Sprague-Dawley rats that were dosed daily over ten weeks with strontium ranelate and strontium citrate, and no strontium (control). Bones were imaged using 2D micro-XRF and 3D dual energy KES X-ray imaging. The 2D imaging revealed differences in strontium and calcium levels between samples from treated and non-treated animals (푝 < 0.001). 3D images obtained showed that strontium was observed to be largely present in the trabecular regions under the epiphyseal plate with concentrations of approximately 5 to 15 mg/cm3 in the bones of both strontium treated groups. The thickness of the strontium layers below the growth plate in both the strontium ranelate and strontium citrate sample were not significantly different (푝 = 0.9201). Both imaging studies performed in this work showed that strontium from both salts is heterogeneously distributed in newly formed bone during treatment.

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