The design of optimal real gabor filters and their applications in fabric defect detection / Zehong Chen in COLORATION TECHNOLOGY, Vol. 131, N° 4 (08/2015)  

[article]  inCOLORATION TECHNOLOGY > Vol. 131, N° 4 (08/2015) . - p. 279-287 Titre : The design of optimal real gabor filters and their applications in fabric defect detection Type de document : texte imprimé Auteurs : Zehong Chen, Auteur ; Xiaoxia Feng, Auteur Année de publication : 2015 Article en page(s) : p. 279-287 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Détection de défauts (Ingénierie) Gabor, Filtre de Un filtre de Gabor est un filtre linéaire dont la réponse impulsionnelle est une sinusoïde modulée par une fonction gaussienne (également appelée ondelette de Gabor). Il porte le nom du physicien anglais d'origine hongroise Dennis Gabor. Textiles et tissus -- Défauts Index. décimale : 667.3 Teinture et impression des tissus Résumé : Fabric defect detection has been recognised as one of the key challenges for automatic production, and Gabor filters are one of the most useful tools in detecting fabric defects. The half-peak tangent method is applied in real Gabor filter design so that the filters can cover the frequency of defects as much as possible. Meanwhile, the half-peak-magnitude contours of the neighbouring filters are tangential. On this basis, two optimal orientations are selected by applying direction masks, and the optimal scale at each optimal orientation is determined according to the signal-to-noise ratio. In this way, two optimal real Gabor filters are obtained. A new algorithm based on the two optimal filters is proposed for fabric defect detection. A series of experiments are carried out for 46 fabric defect images combined with 46 corresponding reference fabric images, in order to verify the effectiveness of the new algorithm. The experimental results obtained show that the new algorithm can accurately detect defects in grey fabric defect images as well as in colour images. For the 46 fabric defect images, the detection rate is 95.66%, indicating that the new algorithm performs well. In addition, comparison of the new algorithm with other algorithms in the literature demonstrates that the new algorithm is more effective in the detection of several fabric defect images. Note de contenu : - RELATED THEORIES OF GABOR FILTERS - THE DESIGN OF REAL GABOR FILTERS WITH MULTIPLE SCALES AND MULTIPLE ORIENTATIONS : Determining the orientation angles of real gabor filters - Determining the standard deviations of real gabor filters - Determining the radial frequencies of real gabor filters - OBTAINING TWO OPTIMAL REAL GABOR FILTERS FOR FABRIC DEFECT DETECTION : Detection the optimal orientations of real gabor filters by direction masks - Determining the corresponding optimal scales by the signal-to-noise ratio - A NEW ALGORITHM BASED ON THE TWO REAL GABOR FILTERS FOR FABRIC DEFECT DETECTION - A SERIES OF EXPERIMENTS APPLYING THE NEW ALGORITHM : Detecting defects in grey fabric images by the new algorithm - Detecting defects in colour fabric images by the new algorithm - Comparing the new algorithm with other algorithm DOI : 10.1111/cote.12154 En ligne : https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12154 Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=24427 [article]

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