FULLY AUTOMATIC APPROACHES FOR CROSSED-POINTS DETECTION IN WOVEN FABRIC RECOGNITION

Autor: ÖZDEMİR Hakan, YILDIZ Ali, UTKU Semih

Publikováno v: Annals of the University of Oradea: Fascicle of Textiles, Leatherwork, Vol XX, Iss 2, Pp 81-86 (2019)

Fabric analysis is done to determine fabric weave patterns used in the weaving process. The analysis of fabric-weave patterns still relied on human inspection until the middle of the 1980s. Since then, a number of studies have been made of automatic

Externí odkaz: https://doaj.org/article/4bf70c9dbeb94446806eb133831396d2

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Textile woven fabric recognition using Fourier image analysis techniques: Part II texture analysis for crossed-states detection

Autor: L. D'Orazio, Rachid Benslimane, E. Martuscelli, Abdelmonaime Lachkar

Publikováno v: Journal of the Textile Institute 96 (2005): 179–183. doi:10.1533/joti.2004.0069
info:cnr-pdr/source/autori:A. Lachkar, R. Benslimane, L. D’Orazio, E. Martuscelli/titolo:Textile woven fabric recognition using Fourier image analysis techniques: Part II texture analysis for crossed-states detection/doi:10.1533%2Fjoti.2004.0069/rivista:Journal of the Textile Institute/anno:2005/pagina_da:179/pagina_a:183/intervallo_pagine:179–183/volume:96

In this paper, the problem of crossed-states detection is investigated and solved. The identification of the weave types in the fabric is realized by analyzing the texture information in the extracted crossed-points. This analysis is termed as 'cross

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd77d4f8a8e19be4dd04b24bbd54946e

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