You are being redirected because this document is part of your ASTM Compass® subscription.
    This document is part of your ASTM Compass® subscription.

    Volume 18, Issue 1 (January 1996)

    Surface Inspection of Textile Composite Materials Using Image Analysis Techniques

    Published Online: 01 January 1996


      Format Pages Price  
    PDF (640K) 12 $25   ADD TO CART

    Cite this document

    X Add email address send
      .RIS For RefWorks, EndNote, ProCite, Reference Manager, Zoteo, and many others.   .DOCX For Microsoft Word


    In this paper, a novel visual quality control technique for production of textile composite materials is presented. This technique is based on the idea of automated image processing. The approach starts by acquiring images of the surface of a composite product using a combination of a microscope and a frame grabbing board connected to a computer. Image processing is then applied to the acquired images to extract important features. In the current study, the features of importance are orientation of surface yarns.

    The image analysis approach is constructed taking into consideration the intrinsic characteristics of the acquired images. Important image features are enhanced using a Difference of Gaussians and a set of directional edge detection kernels. The enhanced image is then thresholded using a “Fixed Percent Setting” technique and converted into binary format. Hough Transform and Bounding Box approaches are utilized for object (that is, fibers) recognition in the binarized image.

    This approach is carried out on 20 ceramic composite parts. The fabric preform was manually placed in all these parts. The technique was successful in determining predominate directions orientation of surface yarns in most of the parts. Matrix material in some areas of these parts were over-grown in the infiltration process. Due to this phenomena, 6% of the acquired images have no data available about yarn's orientation. Consequently, the image analysis approach is unsuccessful in obtaining information about yarn directions in these areas.

    Author Information:

    Schreibman, DV

    Roberts, M
    Senior manager, Mechanical Design and Analysis, Rolls-Royce Inc., Atlanta, GA

    Gowayed, Y
    Assistant professor, Auburn University, Auburn, AL

    Stock #: CTR10460J


    DOI: 10.1520/CTR10460J

    Title Surface Inspection of Textile Composite Materials Using Image Analysis Techniques
    Symposium ,
    Committee D30