Paper
27 February 1996 Automatic assessment of the appearance of seam pucker on textiles using Hough transform
Koji Ichikawa, Tsunehiro Aibara, Maki Muranaka, Masanori Izumide, Kenji Murakami
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233264
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Koji Ichikawa, Tsunehiro Aibara, Maki Muranaka, Masanori Izumide, and Kenji Murakami "Automatic assessment of the appearance of seam pucker on textiles using Hough transform", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233264
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Cited by 2 scholarly publications.
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KEYWORDS
Photography

Feature extraction

Hough transforms

Pattern recognition

Edge detection

Image processing

Inspection

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