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Proceedings Paper

Automatic assessment of the appearance of seam pucker on textiles using Hough transform
Author(s): Koji Ichikawa; Tsunehiro Aibara; Maki Muranaka; Masanori Izumide; Kenji Murakami
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Paper Abstract

Two methods of automated assessment of the appearance of seam pucker based on the Hough transform are proposed. We treat this problem as a pattern recognition problem. From the given standard photographs of suits, which are classified into five classes, we determine a template pattern for each class. These patterns are separated well in the feature space. Although there are several items to be assessed, we focus our attention on the seam of the back of suits. Using a few test samples we made an experiment on the assessment. The results suggest the possibility of practical use.

Paper Details

Date Published: 27 February 1996
PDF: 8 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233264
Show Author Affiliations
Koji Ichikawa, Shikoku Research Institute, Inc. (Japan)
Tsunehiro Aibara, Ehime Univ. (Japan)
Maki Muranaka, System Engineering Service (Japan)
Masanori Izumide, Ehime Univ. (Japan)
Kenji Murakami, Ehime Univ. (Japan)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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