Classification of microorganisms using image processing techniques

Author

Alvarez, Teresa ; Martin, Yolanda ; Pérez, Susana ; Santos, Francisco ; Tadeo, Fernando ; González, Susana ; Arribas, José Luis ; Vega, Pastora

Author_Institution

Dept. of Eng. Sci. & Autom. Control, Valladolid Univ., Spain

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

329

Abstract

This paper presents an approach to the automatic classification of microorganisms based on image-processing techniques. A computer application that processes and classifies the images has been developed. The classification is carried out using a competitive neural network. Its input pattern is evaluated from a frequency analysis of images taken through a microscope. This paper focuses on the application of this technique to the classification of living diatoms

Keywords

biological techniques; biology computing; image classification; microorganisms; neural nets; statistical analysis; automatic microorganism classification; biological diatom index; competitive neural network; frequency analysis; image processing; light microscope images; living diatoms; microbiology; Algae; Automatic control; Computer applications; Computer science; Image analysis; Image processing; Microorganisms; Microscopy; Neural networks; Water pollution;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959020

Filename

959020