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My ICIP 2021 Schedule

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Paper Detail

Paper IDARS-8.10
Paper Title FIBER RECOGNITION IN COMPOSITE MATERIALS
Authors Xiang Li, Sara Shonkwiler, Sara McMains, University of California, Berkeley, United States
SessionARS-8: Image and Video Mid-Level Analysis
LocationArea 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.