NDLI: Robust defect segmentation in woven fabrics

Content Provider	IEEE Xplore Digital Library
Author	Sari-Sarraf, H. Goddard Jr., J.S.
Copyright Year	1998
Description	Author affiliation: Oak Ridge Nat. Lab., TN, USA (Sari-Sarraf, H.)
Abstract	This paper describes a robust segmentation algorithm for the detection and localization of woven fabric defects. The essence of the presented segmentation algorithm is the localization of those events (i.e., defects) in the input images that disrupt the global homogeneity of the background texture. To this end, preprocessing modules, based on the wavelet transform and edge fusion, are employed with the objective of attenuating the background texture and accentuating the defects. Then, texture features are utilized to measure the global homogeneity of the output images. If these images are deemed to be globally nonhomogeneous (i.e., defects are present), a local roughness measure is used to localize the defects. The utility of this algorithm can be extended beyond the specific application in our work, that is, defect segmentation in woven fabrics. Indeed, in a general sense, this algorithm can be used to detect and to localize anomalies that reside in images characterized by ordered texture. The efficacy of this algorithm has been tested thoroughly under realistic conditions and as a part of an on-line fabric inspection system. Using over 3700 images of fabrics, containing 26 different types of defects, the overall detection rate of our approach was 89% with a localization accuracy of less than 0.2 inches and a false alarm rate of 2.5%.
Starting Page	938
Ending Page	944
File Size	601482
Page Count	7
File Format	PDF
ISBN	0818684976
ISSN	10636919
DOI	10.1109/CVPR.1998.698717
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-06-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Fabrics Inspection Image segmentation Production Textile industry Optical sensors Real time systems Wavelet transforms Image edge detection
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Robust defect segmentation in woven fabrics

Real Time Robust Human Detection and Tracking System

Robust color segmentation for the RoboCup domain

Edge descriptors for robust wide-baseline correspondence

Segmentation of Printed Farsi/Arabic Words

Vision-based surface defect inspection for sequence circular objects

Text detection in images based on unsupervised classification of high-frequency wavelet coefficients

Structural defects: general approach and application to textile inspection

Edge Drawing: A Heuristic Approach to Robust Real-Time Edge Detection

Robust defect segmentation in woven fabrics

Similar Documents

Robust defect segmentation in woven fabrics

Real Time Robust Human Detection and Tracking System

Robust color segmentation for the RoboCup domain

Edge descriptors for robust wide-baseline correspondence

Segmentation of Printed Farsi/Arabic Words

Vision-based surface defect inspection for sequence circular objects

Text detection in images based on unsupervised classification of high-frequency wavelet coefficients

Structural defects: general approach and application to textile inspection

Edge Drawing: A Heuristic Approach to Robust Real-Time Edge Detection

Robust defect segmentation in woven fabrics