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Image processing based quality control of coated paper folding
- Source :
- Measurement. 100:99-109
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- During the folding process substrates are exposed to high-localized stresses, which in the case of coated papers and boards, can lead to decreased aesthetic features or complete loss of functionality. Production efficiency of the folding process could be improved by an automated, computer vision-based inspection system. For such a task, different existing computer-aided fold-crack evaluation approaches were analyzed. A detailed research was conducted to propose an image processing based fold cracking assessment via finding optimal sample preparation and digitization techniques and developing an algorithm for the digital image analysis and feature extraction. The analysis of the applicability of different sample preparation and digitization parameters, as well as the proposed digital image feature, was done by correlation evaluation, one-way analysis of variance (ANOVA) and corresponding post hoc tests. The results indicated that the developed algorithm fulfils the set requirements and the proposed feature of digitized samples faithfully describes the analyzed fold-cracks.
- Subjects :
- 0209 industrial biotechnology
Coated paper
Engineering
business.industry
Applied Mathematics
Feature extraction
Image processing
02 engineering and technology
Production efficiency
021001 nanoscience & nanotechnology
Condensed Matter Physics
Digital image
020901 industrial engineering & automation
Digital image analysis
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
0210 nano-technology
business
Instrumentation
Digitization
Subjects
Details
- ISSN :
- 02632241
- Volume :
- 100
- Database :
- OpenAIRE
- Journal :
- Measurement
- Accession number :
- edsair.doi...........eb6685bc89824fb2e722581638f29a5a