Automatic counting system for zebrafish eggs using optical scanner

The productivity of the zebrafish breeding is a fundamental information to aquaculture research. Finding the number of produced eggs after every mating process is typically carried out manually by picking the eggs out of the petri dish individually using a pipette and counting them. The manual process is a tedious work and error prone where the petri dish often contain hundreds of eggs. This paper proposes a novel and accurate system for detecting and counting the number of live eggs inside a petri dish that may contain hundreds of eggs either dead or live with other type of objects. This system starts by capturing image for the petri dish then analyzing this image to classify and count the live and dead eggs using several image processing operations and depending on the colour and shape features. This system help the scientists in their experiments instead of using the microscope and count the eggs manually, this system provides them with this information with a lower cost tool and faster than the manual process.