Multi-line signal change detection for image segmentation with application in the ceramic tile industry

• Autorzy: Sušac Filip , Matić Tomislav , Aleksi Ivan , Keser Tomislav

Identyfikatory

DOI

10.24425/bpasts.2021.137121

• Języki publikacji: EN

Abstrakty

EN

In the ceramic industry, quality control is performed using visual inspection in three different product stages: green, biscuit, and the final ceramic tile. To develop a real-time computer visual inspection system, the necessary step is successful tile segmentation from its background. In this paper, a new statistical multi-line signal change detection (MLSCD) segmentation method based on signal change detection (SCD) method is presented. Through experimental results on seven different ceramic tile image sets, MLSCD performance is analyzed and compared with the SCD method. Finally, recommended parameters are proposed for optimal performance of the MLSCD method.

Słowa kluczowe

EN

segmentation; edge detection; biscuit tile; image processing; visual inspection; ceramic industry

PL

segmentacja; wykrywanie krawędzi; przetwarzanie obrazu; oględziny; przemysł ceramiczny

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2021
• Tom: Vol. 69, nr 3
• Strony: art. no. e137121
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Sušac Filip

• J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia

autor

Matić Tomislav

• J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia

autor

Aleksi Ivan

• J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia

autor

Keser Tomislav

• J. J. Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).