Defect detection in textured materials using optimized filters.

Defect detection in textured materials using optimized filters. Research Abstract Details 

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Defect detection in textured materials using optimized filters. Abstract Text:

A Kumar,G H Pang,

The problem of automated defect detection in textured materials is investigated. A new approach for defect detection using linear FIR filters with optimized energy separation is proposed. The performance of different feature separation criteria with reference to fabric defects has been evaluated. The issues relating to the design of optimal filters for supervised and unsupervised web inspection are addressed. A general web inspection system based on the optimal filters is proposed. The experiments on this new approach have yielded excellent results. The low computational requirement confirms the usefulness of the approach for industrial inspection.

Defect detection in textured materials using optimized filters. Publishing Authors By Initials

A Kumar,GH Pang,

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Defect detection in textured materials using optimized filters. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on systems, man, and cybernetics

VOLUME: 32

Page Numbers: 553-70

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ISSN: 1083-4419

DAY: 4

MONTH: 02

YEAR: 2002

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LANGUAGE: eng

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Grant and Affiliation Information for Defect detection in textured materials using optimized filters.

AFFILIATION: Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Clear Water Bay, China.

Country: United States

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MEDLINETA: IEEE Trans Syst Man Cybern B C

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