@inproceedings{a5819a51c67346aea28927cef80889d7,
title = "Intelligent decoupled SAC-SVD method in color space transformation of computer vision",
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.",
keywords = "Chromaticity coordinate, Color space, Data flow graph (DFG), Decoupled, Parallel computing, Reconfigurable computing system (RCS), Single assignment C (SAC), Singular value decomposition (SVD), VHDL",
author = "Kuo, \{Jian Long\}",
year = "2009",
doi = "10.1007/978-3-642-02568-6\_6",
language = "英语",
isbn = "3642025676",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "56--65",
booktitle = "Next-Generation Applied Intelligence - 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Proceedings",
note = "22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009 ; Conference date: 24-06-2009 Through 27-06-2009",
}