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Information Journal Paper

Title

STRUCTURAL PARAMETER EXTRACTION OF WARP AND WEFT WOVEN FABRIC USING WAVELET-FUZZY METHOD AND GENETIC ALGORITHM

Pages

  67-81

Keywords

FUZZY C-MEANS (FCM) CLUSTERINGQ2

Abstract

 Flexibility of woven fabric structure has caused many errors in YARN LOCATION detection using customary methods of IMAGE PROCESSING. On this line, proposing an adaptive method with FABRIC IMAGE properties is concentrated to extract its parameters. In this regards, using meta-heuristic algorithms seems applicable to correspond extraction algorithm of structural parameters to the image conditions. In this study, a new method is proposed for woven FABRIC IMAGE preprocessing and structural texture detection applying compound methods of signal processing, fuzzy clustering and GENETIC ALGORITHM. Results indicate that proposed method is capable of detecting exact YARN LOCATION with mean precision of more than 73 percent in double-layered FABRIC IMAGEs with uneven color pattern. In one-layered FABRIC IMAGEs with low density weave and invariable color pattern, the mean precision is more than 84 percent.

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    APA: Copy

    FASAHAT, FORUZAN, & PAYVANDY, PEDRAM. (2015). STRUCTURAL PARAMETER EXTRACTION OF WARP AND WEFT WOVEN FABRIC USING WAVELET-FUZZY METHOD AND GENETIC ALGORITHM. SIGNAL AND DATA PROCESSING, -(4 (SERIAL 26)), 67-81. SID. https://sid.ir/paper/160746/en

    Vancouver: Copy

    FASAHAT FORUZAN, PAYVANDY PEDRAM. STRUCTURAL PARAMETER EXTRACTION OF WARP AND WEFT WOVEN FABRIC USING WAVELET-FUZZY METHOD AND GENETIC ALGORITHM. SIGNAL AND DATA PROCESSING[Internet]. 2015;-(4 (SERIAL 26)):67-81. Available from: https://sid.ir/paper/160746/en

    IEEE: Copy

    FORUZAN FASAHAT, and PEDRAM PAYVANDY, “STRUCTURAL PARAMETER EXTRACTION OF WARP AND WEFT WOVEN FABRIC USING WAVELET-FUZZY METHOD AND GENETIC ALGORITHM,” SIGNAL AND DATA PROCESSING, vol. -, no. 4 (SERIAL 26), pp. 67–81, 2015, [Online]. Available: https://sid.ir/paper/160746/en

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