Automatic classification of zooplancton by image analysis

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.