OBJECTIVE EVALUATION OF SEAM PUCKER USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

K. L. Mak, Wei Li

2008

Abstract

Seam pucker evaluation plays a very important role in the garments manufacturing industry. At present, seam puckers are usually evaluated by human inspectors, which is subjective, unreliable and time-consuming. With the developments of image processing and pattern recognition technologies, an automatic vision-based seam pucker evaluation system becomes possible. This paper presents a new approach based on adaptive neuro-fuzzy inference system (ANFIS) to establish the relationship between seam pucker grades and textural features of seam pucker images. The evaluation procedure is performed in two stages: features extraction with the co-occurrence matrix approach, and classification with ANFIS. Experimental results demonstrate the validity and effectiveness of the proposed ANFIS-based method.

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Paper Citation


in Harvard Style

L. Mak K. and Li W. (2008). OBJECTIVE EVALUATION OF SEAM PUCKER USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 234-239. DOI: 10.5220/0001080902340239

in Bibtex Style

@conference{visapp08,
author={K. L. Mak and Wei Li},
title={OBJECTIVE EVALUATION OF SEAM PUCKER USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={234-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001080902340239},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - OBJECTIVE EVALUATION OF SEAM PUCKER USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
SN - 978-989-8111-21-0
AU - L. Mak K.
AU - Li W.
PY - 2008
SP - 234
EP - 239
DO - 10.5220/0001080902340239