Detection of foreign bodies in food by thermal image processing

Ginesu, Giaime; Giusto, Daniele D.; Märgner, Volker; Meinlschmidt, Peter

doi:10.1109/tie.2004.825286

Cited by 107 publications

(40 citation statements)

References 11 publications

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“…Lack of rapid online method to determine varietal purity IR imaging has a potential to identify wheat classes Manickavasagan et al (2008a, b) Hazel nuts, chocolate chunks Lack of system to determine all contaminations in food irrespective of shape or size Possible to determine all sorts of impurities such as leaves, stalks, pedicels, thorns, and foul nuts Warmann and Märgner (2005), Ginesu et al (2004) Potato (Solanum tuberosum)…”

Section: Discussionmentioning

confidence: 99%

“…The quality of detection was related to the physical behaviour of the food and the foreign body, their form, and the noise of the images. Ginesu et al (2004) studied the potential of thermal imaging to detect foreign bodies in food products using a thermal camera and concluded that results are promising and thermal imaging has a potential to detect foreign bodies in food materials. Temperature-time history and surface temperature distributions of walnut kernels during radio frequency treatment Wang et al (2006b) Citrus drying Determination of drying time for citrus fruit Fito et al (2004) Future trends Non-destructive techniques present numerous potential applications in food safety assurance and quality monitoring.…”

Section: Detection In Foreign Body In Foodmentioning

confidence: 99%

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Measurement techniques and application of electrical properties for nondestructive quality evaluation of foods—a review

et al. 2011

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Non-destructive systems are recent trends for quality evaluation of fruits and vegetables. Information on post-harvest variations in electrical properties is needed to develop new instruments for this purpose. Electrical properties are finding increasing application in agriculture and food processing industries. Knowledge of dielectric properties of foods as a function of moisture content and temperature is essential in the design and control of drying systems. As simple, rapid and non-destructive measuring techniques, dielectric spectroscopy provides information about the dielectric response of materials to electromagnetic field. Electrical properties of agricultural materials have been of interest for many years. The interest in dielectric properties of materials has historically been associated with the design of electrical equipment. This review paper covers theoretical aspects of different electrical properties, their measurement techniques, applications of dielectric properties in agriculture/food processing sector and potential applications of thermal imaging (TI) for quality and safety assessment in food processing. The values of dielectric properties of a number of products including food grains, fruits and vegetables, and meat and meat products are presented in table form. This comprehensive coverage will be useful for academic, scientific and industrial community in treating and applying the facts in developing/testing new processes and products based on electromagnetic energy application.Keywords Electrical properties . Non-destructive . Measuring techniques . Dielectric constant . Loss factor . Thermal imaging technique . Food quality evaluationThe material investigation and moisture measurement using electromagnetic waves in wide spectrum serve for quality control and improvement in many branches like industry, forest and wood-working industry, civil engineering, agriculture, commerce and also foods e.g. for quality evaluation of meat, fruits, coffee etc (Hlavacova 2003; Venkatesh and Raghavan 2004). Non-destructive evaluation of quality based on constituents of fruits and vegetables has been successfully used (Chen et al. 1999;Jha et al. 2001;Kawano 1998). Electrical characteristics of agricultural materials have been of interest for many years (Nelson 2006) and are utilized in many areas of human activities. Techniques for non-destructive determination of quality and related characteristics of agricultural products are helpful to producers, handlers and processors . Permittivity and moisture can be closely correlated when water content is high. Knowledge of dielectric properties in partially frozen material is critical in determining the rates and uniformity of heating in microwave thawing. Electrical properties are important in processing foods with pulsed electric fields, ohmic heating, induction heating, radio frequency, and microwave heating. These properties are also useful in the detection of processing conditions or the quality of foods (Barbosa-Canovas et al. 2006). Considering ...

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Section: Discussionmentioning

confidence: 99%

Section: Detection In Foreign Body In Foodmentioning

confidence: 99%

Measurement techniques and application of electrical properties for nondestructive quality evaluation of foods—a review

et al. 2011

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“…In other terms, object detection and tracking in a video sequences have been one of many important problems in computer vision and have attracted more and more researchers working on it. Furthermore, moving object detection has been used for many computer vision applications, including recognition of traffic scenarios [1], supervision traffic flow [2], collision prediction of pedestrians [3], face detection [4], human-machine interaction [5], etc. While detecting and tracking, we need to analyze video sequences to detect and track target in each frame, to achieve monitoring and to master the dynamic variation of the moving objects in order to confirm their exact position.…”

Section: Introductionmentioning

confidence: 99%

Study the Effect of Threshold Value on Object Detection

Alsaif¹,

Hamid²

2018

IJCA

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The object detection on movie based on static camera using background subtraction mainly depends on threshold value of calculating the difference between current frame and previous one.Most of the research use fixed threshold value cause an error technique. In this research the threshold Value calculated depends on histogram gray level of the Frame.The result for moved object detection on the movie Enhanced in addition higher detection obtained than the previous technique.

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“…Thermal imagery is also useful for a diagnosis of equipment [6] or for inspecting the production process [7,8].…”

Section: Introductionmentioning

confidence: 99%

Dynamical Pattern Vector in Pattern Recognition with the Use of Thermal Images

Kuś

2016

MATEC Web of Conferences

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Abstract. The goal of the following paper was to develop the methodology of object tracking in adverse conditions. Suddenly appearing clouds, fog or smoke could be the examples of atmospheric conditions. We used thermal and visible images in each moment during object tracking. We computed the pattern vectors of the tracked object on the basis of the visual and thermal images separately. The pattern vector and current feature vector for an image of a given type are used to compute the distance between the object pattern vector and feature vector calculated for a given location of the aperture. It is calculated for both: the visual and thermal image. The crux of the proposed method was the algorithm of selection which distance (for visual or thermal image) was used for object tracking. It was obtained by multiplying the values of the distances between a pattern vector and current feature vector by some coefficients (different for thermal and visual images). The values of these coefficients depended on the usefulness of a given type of an image for pattern recognition. This usefulness was defined by the variability of the particular pixels in the image which is represented by calculating gradient in the image. On top of that, this study presented the examples of the object recognition by means of the developed method.

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Detection of foreign bodies in food by thermal image processing

Cited by 107 publications

References 11 publications

Measurement techniques and application of electrical properties for nondestructive quality evaluation of foods—a review

Measurement techniques and application of electrical properties for nondestructive quality evaluation of foods—a review

Study the Effect of Threshold Value on Object Detection

Dynamical Pattern Vector in Pattern Recognition with the Use of Thermal Images

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