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Gradient-Based Edge Detection of Songket Motifs

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Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access (ICADL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2911))

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Abstract

This paper discussed the effectiveness of several popular gradient-based edge detection techniques when applied on binary images of songket motifs. Five edge detector algorithms that is Roberts, Sobel, Prewitt, Laplacian of Gaussian and Canny are applied to twenty-five Malaysian traditional songket motifs. These scanned motif images are initially preprocessed to remove noise using several morphological operations. Other than noise removal, binarization of color images are also done to produce binary images. To determine the performance of the edge detectors, the results are evaluated by five human subjects based on several pre-conceived criteria.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi, MARA, 40450, Shah Alam, Selangor, Malaysia

    Nursuriati Jamil

  2. Faculty of Technology and Information Sciences, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Tengku Mohd Tengku Sembok

Authors
  1. Nursuriati Jamil
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  2. Tengku Mohd Tengku Sembok
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Editor information

Editors and Affiliations

  1. Department of Information Science, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi, 43600, UKM Selangor, Malaysia

    Tengku Mohd Tengku Sembok

  2. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  3. Department of Management Information Systems, Eller College of Management, The University of Arizona, AZ 85721, USA

    Hsinchun Chen

  4. International School of Information Management, University of Mysore, Mysore, India

    Shalini R. Urs

  5. School of Engineering, Information and Communications University, 119, Munjiro, Yuseong-gu, 305-732, Daejeon, Korea

    Sung-Hyon Myaeng

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© 2003 Springer-Verlag Berlin Heidelberg

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Jamil, N., Sembok, T.M.T. (2003). Gradient-Based Edge Detection of Songket Motifs. In: Sembok, T.M.T., Zaman, H.B., Chen, H., Urs, S.R., Myaeng, SH. (eds) Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access. ICADL 2003. Lecture Notes in Computer Science, vol 2911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24594-0_46

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  • DOI: https://doi.org/10.1007/978-3-540-24594-0_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20608-8

  • Online ISBN: 978-3-540-24594-0

  • eBook Packages: Springer Book Archive

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