Surface Inspection of Textile Composite Materials Using Image Analysis Techniques

Abstract

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.