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Intelligent Decoupled SAC-SVD Method in Color Space Transformation of Computer Vision

  • Conference paper
Next-Generation Applied Intelligence (IEA/AIE 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5579))

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Abstract

This paper proposes a decoupled SAC-SVD method to calculate color space transformation in single assignment C (SAC) language. Chromaticity coordinate transformation is discussed based on the decoupled SAC-SVD method. The conventional color space transformation is decomposed into three independent equations, respectively. Singular value decomposition (SVD) transformation is proposed to provide the constant values for the associated derivation. Such an algorithm is suitable for the arithmetic operation of single assignment C. The hardware description language VHDL can be generated by using Data Flow Graph in a single assignment C compiler. The results will show that the proposed algorithm can shorten the execution time to a certain extent. It is evident that the proposed intelligent algorithm can be very helpful in implementing the hardware-interface or software-driver for the computer vision.

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Author information

Authors and Affiliations

  1. Institute of M.A.E. System Information and Control, National Kaohsiung First University of Sci. and Tech., Nan-Tze, Kaoh-Siung 811, Taiwan

    Jian-Long Kuo

Authors
  1. Jian-Long Kuo
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National University of Tainan, 700, Tainan, Taiwan

    Been-Chian Chien

  2. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  3. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

  4. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, 78666-4616, San Marcos, TX, USA

    Moonis Ali

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© 2009 Springer-Verlag Berlin Heidelberg

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Kuo, JL. (2009). Intelligent Decoupled SAC-SVD Method in Color Space Transformation of Computer Vision. In: Chien, BC., Hong, TP., Chen, SM., Ali, M. (eds) Next-Generation Applied Intelligence. IEA/AIE 2009. Lecture Notes in Computer Science(), vol 5579. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02568-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-02568-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02567-9

  • Online ISBN: 978-3-642-02568-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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