Comparative Study on Discrimination Methods for Identifying Dangerous Red Tide Species Based on Wavelet Utilized Classification Methods
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 1
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.
Authors and Affiliations
Kohei Arai
Keywords
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- EP ID EP156435
- DOI 10.14569/IJACSA.2013.040114
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