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Automatic Estimation of Artemia Hatching Rate Using an Object Discrimination Method
Ocean and Polar Research
Digital image processing is a process to analyze a large volume of information on digital images. In this study, Artemia hatching rate was measured by automatically classifying and counting cysts and larvae based on color imaging data from cyst hatching experiments using an image processing technique. The Artemia hatching rate estimation consists of a series of processes; a step to convert the scanned image data to a binary image data, a process to detect objects and to extract their shapedoi:10.4217/opr.2013.35.3.239 fatcat:fzczxi4tvfclbivepbhze5dybe