Journal
ISA TRANSACTIONS
Volume 76, Issue -, Pages 246-254Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2018.03.015
Keywords
Image segmentation; Real-time; Edge detection; Biscuit tile; CUDA
Categories
Funding
- TETRACOM project Computer Vision Station Prototype for Biscuit Tiles Quality Control [609491]
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In this paper we propose a novel real-time Biscuit Tile Segmentation (BTS) method for images from ceramic tile production line. BTS method is based on signal change detection and contour tracing with a main goal of separating tile pixels from background in images captured on the production line. Usually, human operators are visually inspecting and classifying produced ceramic tiles. Computer vision and image processing techniques can automate visual inspection process if they fulfill real-time requirements. Important step in this process is a real-time tile pixels segmentation. BTS method is implemented for parallel execution on a GPU device to satisfy the real-time constraints of tile production line. BTS method outperforms 2D threshold-based methods, 1D edge detection methods and contour-based methods. Proposed BTS method is in use in the biscuit tile production line. (C) 2018 ISA. Published by Elsevier Ltd. All rights reserved.
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