Patterned fabric inspection and visualization by the method of image decomposition

Michael K. Ng; Henry Y. T. Ngan; Xiaoming Yuan; Wenxing Zhang

doi:10.1109/TASE.2014.2314240

Patterned fabric inspection and visualization by the method of image decomposition

Michael K. Ng, Henry Y. T. Ngan, Xiaoming Yuan, Wenxing Zhang

Department of Mathematics

Research output: Contribution to journal › Journal article › peer-review

95 Citations (Scopus)

122 Downloads (Pure)

Abstract

This paper analyzes the cartoon and texture structures to inspect and visualize defective objects in a patterned fabric image. It presents a method of an image decomposition (ID) and solves it by a convex optimization algorithm. Our experimental results on benchmark fabric images are superior to those by other methods.

Original language	English
Article number	6803963
Pages (from-to)	943-947
Number of pages	5
Journal	IEEE Transactions on Automation Science and Engineering
Volume	11
Issue number	3
DOIs	https://doi.org/10.1109/TASE.2014.2314240
Publication status	Published - Jul 2014

User-Defined Keywords

Classification
convex optimization
image decomposition
operator splitting method
patterned fabric inspection

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10.1109/TASE.2014.2314240

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Cite this

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title = "Patterned fabric inspection and visualization by the method of image decomposition",

abstract = "This paper analyzes the cartoon and texture structures to inspect and visualize defective objects in a patterned fabric image. It presents a method of an image decomposition (ID) and solves it by a convex optimization algorithm. Our experimental results on benchmark fabric images are superior to those by other methods.",

keywords = "Classification, convex optimization, image decomposition, operator splitting method, patterned fabric inspection",

author = "Ng, {Michael K.} and Ngan, {Henry Y. T.} and Xiaoming Yuan and Wenxing Zhang",

note = "The work of M. K. Ng is supported by RGC Grants and HKBU FRG Grants. The work of H. Y. T. Ngan is supported by HKBU FRG Grant FRG1/12-13/075. The work of X. M. Yuan is supported by the General Research Fund of Hong Kong 203712. The work of W. X. Zhang is supported by NNSFC 11301055.",

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AU - Ng, Michael K.

AU - Ngan, Henry Y. T.

AU - Yuan, Xiaoming

AU - Zhang, Wenxing

N1 - The work of M. K. Ng is supported by RGC Grants and HKBU FRG Grants. The work of H. Y. T. Ngan is supported by HKBU FRG Grant FRG1/12-13/075. The work of X. M. Yuan is supported by the General Research Fund of Hong Kong 203712. The work of W. X. Zhang is supported by NNSFC 11301055.

PY - 2014/7

Y1 - 2014/7

N2 - This paper analyzes the cartoon and texture structures to inspect and visualize defective objects in a patterned fabric image. It presents a method of an image decomposition (ID) and solves it by a convex optimization algorithm. Our experimental results on benchmark fabric images are superior to those by other methods.

AB - This paper analyzes the cartoon and texture structures to inspect and visualize defective objects in a patterned fabric image. It presents a method of an image decomposition (ID) and solves it by a convex optimization algorithm. Our experimental results on benchmark fabric images are superior to those by other methods.

KW - Classification

KW - convex optimization

KW - image decomposition

KW - operator splitting method

KW - patterned fabric inspection

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DO - 10.1109/TASE.2014.2314240

M3 - Journal article

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SN - 1545-5955

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JO - IEEE Transactions on Automation Science and Engineering

JF - IEEE Transactions on Automation Science and Engineering

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M1 - 6803963

ER -

Patterned fabric inspection and visualization by the method of image decomposition

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