Application of Mathematical Morphology to Microscope Image Processing of Marine Phytoplankton
Mathematical morphology is one of a mathematical methods for analysis of geometric shape and structure,and has been commonly used in image analysis and treatment.Phytoplankton is important primary producer in marine ecosystem whose cell is usually small and can be well identified only under microscope although it is usually typical in morphology for different species.Akashiwo sanguined (Hirasaka) Hansen & Moestrup,a common red-tide causative phytoplankton species,is selected as tested target for image treatment with mathematical morphology in the present study.Different mathematical morphological methods were used in this study for analysis and processing of marine phytoplankton microscope images.The algorithms include binary image morphological processing algorithm and gray image morphological processing algorithm referring to quick and efficient optimized algorithms of erosion and dilation,opening—closing operation,especially the image segmentation base on morphological watershed,target tags and target segmentation.It is suggested that mathematical morphology could be a good method for microscope image treatment and is very likely to be applied in automatic identification system of marine phytoplanktons.
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