DocumentCode :
1692925
Title :
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
Link To Document :
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