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ARDIS: Knowledge-Based Dynamic Architecture for Real-Time Surface Visual Inspection

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5601))

Abstract

This work presents an approach to surface dynamic inspection in laminated materials based on the configuration of a visual system to obtain a good quality control of the manufacturing surface. The configuration task for surface inspection is solved as a Configuration-Design task following the CommonKADS methodology, which supports the proposed knowledge-based dynamic architecture (ARDIS).

The task is analysed at the knowledge level and is decomposed into simple subtasks to reach the inference level. All the generic knowledge involved in the surface inspection process is differentiated among environment, real-time, image quality and computer vision techniques to be integrated it in ARDIS.

An application has been developed to integrate four operation modes relating to visual system configuration and specific surface inspection. An example is shown for configuring a stainless steel inspection system and another one for wood inspection.

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References

  1. Comaniciu, D., Meer, P.: Mean shift: a robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 603–619 (2002)

    Article  Google Scholar 

  2. Martín, D.: Arquitectura dinámica para inspección visual de superficies en tiempo real. Ph.D thesis, UNED, Madrid, Spain (2008)

    Google Scholar 

  3. Matlab, The MathWorks Inc. Natick, MA, United States, http://www.mathworks.com/

  4. NeuroCheck. Industrial Vision Systems. Version 5,1,1065 [SP9], NeuroCheck GmbH (2006)

    Google Scholar 

  5. Rincón, M., Bachiller, M., Mira, J.: Knowledge modeling for the image understanding task as a design task. Expert Systems with Applications 29, 207–217 (2005)

    Article  Google Scholar 

  6. Schreiber, G., Akkermans, H., Anjewierden, A., de Hoog, R., Shadbolt, N., de Velde, W.V., Wielinga, B.: Knowledge Engineering and Management: The CommonKADS Methodology. The MIT Press, Cambridge (2000)

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© 2009 Springer-Verlag Berlin Heidelberg

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Martín, D., Rincón, M., García-Alegre, M.C., Guinea, D. (2009). ARDIS: Knowledge-Based Dynamic Architecture for Real-Time Surface Visual Inspection. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds) Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy. IWINAC 2009. Lecture Notes in Computer Science, vol 5601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02264-7_41

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  • DOI: https://doi.org/10.1007/978-3-642-02264-7_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02263-0

  • Online ISBN: 978-3-642-02264-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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