Automatic Identification of Round Diatom

Author

Luo, Qiaoqi ; Gao, Yahui ; Luo, Jinfei ; Chen, Changping ; Liang, Junrong ; Yang, Chenhui

Author_Institution

Sch. of Life Sci., Xiamen Univ., Xiamen, China

fYear

2010

fDate

23-25 April 2010

Firstpage

1

Lastpage

4

Abstract

In this work, a method for automatic identification of round diatoms based on image texture features is presented. This method combines segmentation adjustment by curve fitting and texture measures based on the spectrum features. The classification accuracy was tested using leave on out methods. With classification carried out using a BP neural network we attained 96.2% accuracy from a set of image containing six species of round diatom. The result is an effective attempt of round diatom identification based on texture character.

Keywords

backpropagation; curve fitting; ecology; feature extraction; image segmentation; image texture; neural nets; BP neural network; curve fitting; image texture features; leave-on-out methods; round diatom identification; segmentation adjustment; spectrum features; texture measurement; Algae; Curve fitting; Ecosystems; Feature extraction; Image segmentation; Least squares methods; Optical microscopy; Pattern recognition; Robustness; Sea measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5315-3

Type

conf

DOI

10.1109/ICBECS.2010.5462485

Filename

5462485