DocumentCode :
3009071
Title :
Automatic classification of zooplancton by image analysis
Author :
Chehdi, K. ; Boucher, J.-M. ; Hillion, A.
Author_Institution :
Ecole Nationale Supérieure des Télécommunications de Bretagne, Brest, France
Volume :
11
fYear :
1986
fDate :
31503
Firstpage :
1477
Lastpage :
1480
Abstract :
Automatic identification and counting of zooplankton is becoming very useful in marine ecology to avoid long and tedious tasks for biologists. We propose a method of image analysis to detect edges, filter the binary image to reduce spots and appendices such as legs or antennas, and measure parameters, such as the length of the abdomen which are finally used in the classification. Some results of classification on 320 specimens are then presented.
Keywords :
Abdomen; Antenna measurements; Biological information theory; Environmental factors; Filters; Image analysis; Image edge detection; Image segmentation; Leg; Length measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type :
conf
DOI :
10.1109/ICASSP.1986.1169229
Filename :
1169229
Link To Document :
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