%0 Journal Article
%T Comparative Study on Discrimination Methods for Identifying Dangerous Red Tide Species Based on Wavelet Utilized Classification Methods
%A Kohei Arai
%J International Journal of Advanced Computer Sciences and Applications
%D 2013
%I The Science and Information (SAI) Organization
%X 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.
%K hue feature
%K texture information
%K wavelet descripter
%K red tide
%K phytoplankton idintification
%U http://thesai.org/Downloads/Volume4No1/Paper_14-Comparative_Study_on_Discrimination_Methods_for_Identifying_Dangerous_Red_Tide_Species_Based_on_Wavelet_Utilized_Classification_Methods.pdf