Proceedings ArticleDOI
Automatic grading of ceramic tiles using machine vision
C. Boukouvalas,Josef Kittler,R. Marik,Maria Petrou +3 more
- pp 13-18
TLDR
The authors present a method designed to solve the problem of automatic color grading for industrial inspection and presents results of correctly grading a series of ceramic tiles, the differences of which were at the threshold of the human perception.Abstract:
The authors present a method designed to solve the problem of automatic color grading for industrial inspection. By far the most important obstacle to the solution of this problem is the temporal constancy of the image capturing conditions. They discuss the problems they were confronted with in that respect and the ways they dealt with them. Finally, they present results of correctly grading a series of ceramic tiles, the differences of which were at the threshold of the human perception. >read more
Citations
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Journal ArticleDOI
A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques
TL;DR: This paper systematically review recent advances in surface inspection using computer vision and image processing techniques, particularly those based on texture analysis methods, to review the state-of-the-art techniques for the purposes of visual inspection and decision making schemes that are able to discriminate the features extracted from normal and defective regions.
Journal ArticleDOI
Automatic inspection of metallic surface defects using genetic algorithms
TL;DR: In this paper, an approach based on morphology and genetic algorithms is proposed to detect structural defects on bumpy metallic surfaces, which can provide an accurate identification to the defects and can be developed into a viable commercial visual inspection system.
Journal ArticleDOI
Color grading of randomly textured ceramic tiles using color histograms
TL;DR: The authors present a method designed to solve the problem of automatic color shade grading for industrial inspection of randomly textured multicolored ceramic tiles based on the comparison of color histograms.
Ceramic tile inspection for colour and structural defects
TL;DR: In this paper, a number of techniques have been developed to detect various kinds of defects in plain and textured tiles, such as pin hole and crack detectors for plain tiles based on a set of separable line filters, through textured tile crack detector based on the Wigner distribution and a novel cojoint spatial-spatial frequency representation of texture, to a colour texture tile defect detection algorithm which looks for abnormalities both in chromatic and structural properties of texture tiles.
Journal ArticleDOI
ASSIST: automatic system for surface inspection and sorting of tiles
Costas Boukouvalas,Francesco G. B. De Natale,Giovanni De Toni,Josef Kittler,R. Marik,Majid Mirmehdi,Maria Petrou,Phillip Le Roy,Roberto Salgari,Gianni Vernazza +9 more
TL;DR: In this article, the authors describe an integrated system developed for the detection of defects on color ceramic tiles and for the color grading of defect-free tiles and suggest that the performance is adequate for providing a basis for a viable commercial visual inspection system.
References
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Ceramic tile inspection for colour and structural defects
TL;DR: In this paper, a number of techniques have been developed to detect various kinds of defects in plain and textured tiles, such as pin hole and crack detectors for plain tiles based on a set of separable line filters, through textured tile crack detector based on the Wigner distribution and a novel cojoint spatial-spatial frequency representation of texture, to a colour texture tile defect detection algorithm which looks for abnormalities both in chromatic and structural properties of texture tiles.
Proceedings ArticleDOI
Inspection of ceramic tableware for quality control using a neural network vision system
TL;DR: This paper concentrates on one visual fault known as shading variation, a result of color pigments registering as light, dark, or irregular, which is evaluated by analysis of the image intensity histogram.
Proceedings ArticleDOI
Color Constancy and a Changing Illumination
TL;DR: It is shown that if surface reflectances are well modeled by 3 basis functions and illuminants by up to 5 basis functions then it is possible to solve for color constancy given 3 surfaces viewed under 2 illuminant parameters.