Automated Defect Detection In Textured Materials

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Automated Defect Detection In Textured Materials

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Author : Ajay Kumar Pathak
language : en
Publisher:
Release Date : 2017-01-27

Automated Defect Detection In Textured Materials written by Ajay Kumar Pathak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-27 with categories.

This dissertation, "Automated Defect Detection in Textured Materials" by Ajay Kumar, Pathak, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3124222 Subjects: Materials - Texture - Inspection Materials - Defects Engineering inspection - Mathematical models

Automated Defect Detection In Textured Materials

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Author : Ajay Kumar Pathak
language : en
Publisher:
Release Date : 2001

Automated Defect Detection In Textured Materials written by Ajay Kumar Pathak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Engineering inspection categories.

Automated Tiny Surface Defect Detection Using Dct Based Enhancement Approach For Statistical Textures

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Author : Hong-Dar Lin
language : en
Publisher:
Release Date : 2005

Automated Tiny Surface Defect Detection Using Dct Based Enhancement Approach For Statistical Textures written by Hong-Dar Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.

Automated Defect Detection For Textile Fabrics Using Gabor Wavelet Networks

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Author : Pai Peng
language : en
Publisher: Open Dissertation Press
Release Date : 2017-01-27

Automated Defect Detection For Textile Fabrics Using Gabor Wavelet Networks written by Pai Peng and has been published by Open Dissertation Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-27 with categories.

This dissertation, "Automated Defect Detection for Textile Fabrics Using Gabor Wavelet Networks" by Pai, Peng, 彭湃, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled Automated Defect Detection for Textile Fabrics Using Gabor Wavelet Networks submitted by PENG PAI for the degree of Doctor of Philosophy at The University of Hong Kong in December 2006 This study seeks to develop efficient methodologies to facilitate automated detection of defects in textile fabrics. Its novelty consists in combining the practical implementation of feature extraction and learning techniques by using Gabor wavelet networks (GWNs) for object representation. The study develops three structure design algorithms to determine automatically the number of hidden nodes in a GWN. The first algorithm is based on a pyramid decomposition approach, and can be used to design wavelet networks. The second algorithm is based on two important properties of GWNs, and is developed specifically for designing GWNs to solve fabric defect detection problems. These properties, which are formally established in this study, indicate that: (1) the magnitude of the network weight associated with a wavelet of a GWN trained by using an objective function governs the contribution of the wavelet in reconstructing the function; and (2) in the network training process, the translation parameters of a wavelet in the network are likely to position at the edge region of the objective function being studied. The third algorithm is based on the concept of orthogonal forward selection, and can be used to design wavelet networks for solving small and medium sized problems. For larger problems, the algorithm can be used to supplement other structure design algorithms to reduce the size of the network. A new defect detection scheme which employs 2D GWNs is proposed in this study. A superwavelet is used to ensure correct alignment between a template image and the corresponding sample images. However, the complexity analysis of the proposed scheme indicates that it is computationally demanding. To overcome this limitation, a 1D version of the above scheme which does not employ a superwavelet is developed to speed up the detection process. The scheme's good defect detection performance is confirmed by using offline experiments and by using real time experiments conducted with the prototyped automated inspection system developed in this study. The deployment of a GWN to extract features from a non-defective fabric image for the purpose of designing "optimal" Gabor filters and "optimal" morphological filters is investigated. These "optimal" filters are then used to design three defect detection schemes for textile fabrics. Another filter design method based on a real Gabor wavelet network is also proposed. The method automatically tunes the real parts of the Gabor functions to match the texture being studied. Based on these tuned-matched Gabor wavelets, a new defect detection scheme for textile fabrics is developed. The performances of all schemes are evaluated offline and in real time by using a variety of homogeneous textile fabric images. The study also proposes a complex-valued wavelet network (CVWN), which employs complex-valued multi-dimensional Gabor wavelets as the transfer functions. The feasibility and effectiveness of the CVWN are shown by solving a complicated feature extraction problem. Indeed, it can be noticed that a CVWN can be separated into two real-valued wavelet networks, namely a Gabor wavelet network and a real Gabor wavelet network. DOI: 10.5353/th_b387661

Automation In Garment Manufacturing

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Author : Rajkishore Nayak
language : en
Publisher: Woodhead Publishing
Release Date : 2017-11-10

Automation In Garment Manufacturing written by Rajkishore Nayak and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-10 with Technology & Engineering categories.

Automation in Garment Manufacturing provides systematic and comprehensive insights into this multifaceted process. Chapters cover the role of automation in design and product development, including color matching, fabric inspection, 3D body scanning, computer-aided design and prototyping. Part Two covers automation in garment production, from handling, spreading and cutting, through to finishing and pressing techniques. Final chapters discuss advanced tools for assessing productivity in manufacturing, logistics and supply-chain management. This book is a key resource for all those engaged in textile and apparel development and production, and is also ideal for academics engaged in research on textile science and technology. Delivers theoretical and practical guidance on automated processes that benefit anyone developing or manufacturing textile products Offers a range of perspectives on manufacturing from an international team of authors Provides systematic and comprehensive coverage of the topic, from fabric construction, through product development, to current and potential applications

Fabric Defect Detection Using Texture Analysis

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Author : Zhen Hou
language : en
Publisher:
Release Date : 2000

Fabric Defect Detection Using Texture Analysis written by Zhen Hou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.

Algorithms For Vision Based Defect Detection On Textured Surfaces

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Author : Zhen Hou
language : en
Publisher:
Release Date : 2009

Algorithms For Vision Based Defect Detection On Textured Surfaces written by Zhen Hou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.

Motif Based Method For Patterned Texture Defect Detection

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Author : Yuk-Tung Henry Ngan
language : en
Publisher:
Release Date : 2017-01-27

Motif Based Method For Patterned Texture Defect Detection written by Yuk-Tung Henry Ngan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-27 with categories.

Towards Automated Defect Detection Object Oriented Modeling Of Construction Specifications

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Author : Frank Boukamp
language : en
Publisher:
Release Date : 2004

Towards Automated Defect Detection Object Oriented Modeling Of Construction Specifications written by Frank Boukamp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.

Surface Defect Detection On Textured Background

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Author : Keng Yew Song
language : en
Publisher:
Release Date : 1993

Surface Defect Detection On Textured Background written by Keng Yew Song and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.