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Proceedings Paper

Fundamental Study On Automatic Fabric Inspection By Computer Image Processing
Author(s): Hiroyasu Koshimizu
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Paper Abstract

In this paper, a virtual system for automatic detection of fabric defects is introduced and the performance of the system is investigated experimentally from a software-oriented point of view . Major discussions on this software system are focused on how the observed noisy data can be made clear without degradation of resolution power of the image and on how several kinds of fabric defects can be detected from the noisy background. Following results are obtained experimentally: (1) Resolution power of the input data below the nominal fineness of a fabric sample(cotton) still provides approximately sufficient information of defects. (2) As a preprocessing of the fabric image data, projection procedure has efficient and appropriate properties in order to reduce background noise. (3) Combining the projection procedure with thresholding procedure in this system 'almost all kinds of defects can be detected automatically with a little misjudgement.

Paper Details

Date Published: 10 October 1979
PDF: 8 pages
Proc. SPIE 0182, Imaging Applications for Automated Industrial Inspection and Assembly, (10 October 1979); doi: 10.1117/12.957369
Show Author Affiliations
Hiroyasu Koshimizu, Nagoya Municipal Industrial Research Institute (Japan)

Published in SPIE Proceedings Vol. 0182:
Imaging Applications for Automated Industrial Inspection and Assembly
Richard P. Kruger, Editor(s)

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