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Selection of optimal texture algorithms for evaluating degradation of carpets through experimental design
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Reviewing, selecting and evaluating features in distinguishing fine changes of global texture
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- Journal Article
- A1
- open access
Automatic grading of appearance retention of carpets using intensity and range images
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- Conference Paper
- P1
- open access
Analysing wear in carpets by detecting varying local binary patterns
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- Conference Paper
- P1
- open access
Measuring hairiness in carpets by using surface metrology
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- Conference Paper
- P1
- open access
Optimizing feature extraction in image analysis using experimented designs, a case study evaluating texture algorithms for describing appearance retention in carpets
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- Conference Paper
- P1
- open access
Quantifying appearance retention in carpets using geometrical local binary patterns
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Analyzing carpet wear
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COMPAS: op computer gebaseerde beoordeling van aspectverandering van tapijten ten gevolge van tapijtslijtage
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A comparison between intensity and depth images for extracting features related to wear labels in carpets