Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2013.040114
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 1, 2013.
Abstract: Comparative study on discrimination methods for identifying dangerous red tide species based on wavelet utilized classification methods is conducted. Through experiments, it is found that classification performance with the proposed wavelet derived shape information extracted from the microscopic view of the phytoplankton is effective for identifying dangerous red tide species among the other red tide species rather than the other conventional texture, color information.
Kohei Arai , “Comparative Study on Discrimination Methods for Identifying Dangerous Red Tide Species Based on Wavelet Utilized Classification Methods” International Journal of Advanced Computer Science and Applications(IJACSA), 4(1), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040114