The visual inspection of product surfaces

Baudet, Nathalie; Maire, Jean-Luc; Pillet, Maurice

doi:10.1016/j.foodqual.2012.08.006

Cited by 19 publications

(12 citation statements)

References 25 publications

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“…Often, the customer's perceptions contradict with the image of the brand. The study on customers and experts regarding visual inspection of 30 product components was performed by Baudet, et al (2013). Their findings spotted an asymmetrical information between what companies think about their product's quality and how the customers perceive them.…”

Section: Discussion and Outlookmentioning

confidence: 99%

Preliminary Study on Haptics of Textile Surfaces via Digital Visual Cues

2022

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Humans perceive through various sensory impressions, including the five senses. Not only the number of different stimuli in everyday life increase, but also the degree of assessment of urgent and irrelevant information. But online it is not possible for the customer to physically perceive and assess the haptics of a product. This paper focus on the questions if it is possible for humans to perceive and identify surface properties without using their sense of touch and if humans can judge and classify the haptics of a textile materials via digital channels through a purely visual perception?

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Section: Discussion and Outlookmentioning

confidence: 99%

Preliminary Study on Haptics of Textile Surfaces via Digital Visual Cues

2022

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“…Indeed, the formalization of human quality inspection consists of three main phases : Exploration, Evaluation and Decision. 4 There are only two equivalent interactions dening the human perceptual system with the visual surface appearance (Figure 2). The rst interaction corresponds to the one between visual surface appearance and the human eye, and the second one between scanned surface and the human brain.…”

Section: Methodsmentioning

confidence: 99%

Extended visual appearance texture features

Désage¹,

Pitard²,

Pillet³

et al. 2015

SPIE Proceedings

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International audienceThe research purpose is to improve surface characterization based on what is perceived by human eye and on the 2006 CIE report. This report denes four headings under which possible measures might be made: color, gloss, translucency and texture. It is therefore important to dene parameters able to discriminate surfaces, in accordance with the perception of human eye. Our starting point in assessing a surface is the measurement of its reectance (acquisition of ABRDF for visual rendering), i.e. evaluate a set of images from dierent angles of lighting rather than a single image. The research question is how calculate, from this enhanced information, some discriminating parameters. We propose to use an image processing approach of texture that reects spatial variations of pixel for translating changes in color, material and relief. From a set of images from dierent angles of light, we compute associated Haralick features for constructing new (extended) features, called Bidimensional Haralick Functions (BHF), and exploit them for discriminating surfaces.We propose another framework in three parts such as color, material and relief

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“…It was decided to analyze possible criteria for the division of VI methods according to 5W+2H questions (Knop and Mielczarek, 2018). The division of method VI was made on the basis of literature research (Blikle, 2018;Budet et al, 2012;Evans and Lindsay, 2011;Hamrol, 2005;Hinckley, 1997;Knop et al, 2019;Kolman, 1997;Kujawińska et. al, 2018;Oakland, 2007;Starzyńska et al, 2018;Sun et al, 2018;Ulewicz, 2018;Ulewicz and Mazur, 2019;Webber and Wallace, 2007) and for the purpose of the study.…”

Section: Relationship Between VI and Vtmentioning

confidence: 99%

Indicating and analysis the interrelation between terms – visual: management, control, inspection and testing

Knop

2020

Production Engineering Archives

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The multitude of concepts and methods of management and control related to the word “visual” in the area of production and quality management may cause difficulties with their perception, proper understanding and use of these terms by researchers from various backgrounds (not necessarily related to production) and countries, including Poland. In particular, the noticed inaccuracies in the use of terms with the word “visual” concern such terms as visual: management, control, inspection, and testing, where, for example, in the Polish language the first three different terms in English are named with the same phrase, which sometimes causes some confusion. The aim of the article was an attempt to distinguish, sometimes “troublesome” definitions, to indicate the area of their application, to define possible relations between them, which is a peculiar novelty. The article is an analysis of the literature related to these concepts, systematizes the types of visual concepts and methods in the area of production and quality. It defines in what context the indicated terms should be used by researchers and what is the relationship between them, and under what conditions they can be used separately or jointly. The article is an attempt to indicating and analysis of the interrelation between concepts in which the word “visual” appears concerning production practice. Concepts visual: management, control, inspection, and testing, as the author proves in the article, they should be translated into English with due diligence, due to the differences between them. It has been shown that there is a strong relationship between type definition pairs as visual management & visual control and visual inspection & visual testing, where it is not a mistake to use them interchangeably, and cases, where all these concepts can intertwine, are also given.

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The visual inspection of product surfaces

Cited by 19 publications

References 25 publications

Preliminary Study on Haptics of Textile Surfaces via Digital Visual Cues

Preliminary Study on Haptics of Textile Surfaces via Digital Visual Cues

Extended visual appearance texture features

Indicating and analysis the interrelation between terms – visual: management, control, inspection and testing

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