Images of the surface of a composite product are acquired 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 surface yarn orientations.
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 (i.e.~fiber) recognition in the binarized image.
