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ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Cotton Structure and Quality Research » Research » Publications at this Location » Publication #336624
Research Project: Improved Quality Assessments of Cotton from Fiber to Final Products

Location: Cotton Structure and Quality Research

Title: Image analysis for the detection of Barré

Author
item Delhom, Christopher - Chris
item LI, X - Louisiana State University
item MARTIN, VICKI - Cotton, Inc

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract Only
Publication Acceptance Date: 1/30/2017
Publication Date: N/A
Citation: N/A

Interpretive Summary: Barré is a major problem for the textile industry. Barré is detectable after fabric is dyed and the detection of barré can depend upon the color of the dyed fabric, lighting conditions, fabric pattern, and/or the color perception of the person viewing the fabric. The standard method for measuring barré is to compare fabric samples to digitally produced images on the AATCC rating scale. The use of a human observer to detect and rate barré is problematic due to differences between operators and the need for a trained and skilled human operator. An image analysis system was developed to examine the potential for a computer-based image analysis system to examine fabrics for the presence of barré and the extent to which barré may exist within a fabric. Knit fabrics present some unique challenges due to their inherent 3-dimensional nature and repetitive construction. Techniques for capturing the image for analysis by the software had to be developed in conjunction with software which was able to process the image and allow for the measurement of barré.

Technical Abstract: Barré is a major problem for the textile industry. Barré is detectable after fabric is dyed and the detection of barré can depend upon the color of the dyed fabric, lighting conditions, fabric pattern, and/or the color perception of the person viewing the fabric. The standard method for measuring barré is to compare fabric samples to digitally produced images on the AATCC rating scale. The use of a human observer to detect and rate barré is problematic due to differences between operators and the need for a trained and skilled human operator. An image analysis system was developed to examine the potential for a computer-based image analysis system to examine fabrics for the presence of barré and the extent to which barré may exist within a fabric. Knit fabrics present some unique challenges due to their inherent 3-dimensional nature and repetitive construction. Techniques for capturing the image for analysis by the software had to be developed in conjunction with software which was able to process the image and allow for the measurement of barré.