Paper ID | ARS-8.10 | ||
Paper Title | FIBER RECOGNITION IN COMPOSITE MATERIALS | ||
Authors | Xiang Li, Sara Shonkwiler, Sara McMains, University of California, Berkeley, United States | ||
Session | ARS-8: Image and Video Mid-Level Analysis | ||
Location | Area I | ||
Session Time: | Monday, 20 September, 13:30 - 15:00 | ||
Presentation Time: | Monday, 20 September, 13:30 - 15:00 | ||
Presentation | Poster | ||
Topic | Image and Video Analysis, Synthesis, and Retrieval: Image & Video Interpretation and Understanding | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
Abstract | The accuracy of fiber recognition in cross-sectional scanned images is critical to material characterization for Fiber-Reinforced Polymer (FRP) composites. It is challenging to accurately detect and locate all fibers, especially broken fibers. We propose a two-step approach to automatically detect and categorize fibers. First we exploit distance-transform-based watershed segmentation to extract the boundaries of individual fiber cross-sections to handle cases where fibers contact each other, then use our proposed contour gradient charts to evaluate the breakage of each fiber cross-section and classify individual fiber boundaries as circles or ellipses. Our method accurately and robustly recognizes fibers in the cross-sectional images, whether they are aligned or misaligned, complete or broken. |