2012 · 14 citations · 5 references
EngineeringBiomedical EngineeringCell BiologyBiomedical ImagingComputer VisionMachine VisionFluorescence MicroscopyImage AnalysisImage QuantificationLight MicroscopyMedical Image AnalysisSupport Vector MachinesAccuracyCell CountingSupport Vector ClassificationSupport Vector Machine Classification
Light spot counting and radius estimation in intracellular images is important for investigating the cause of clinical condition. Since light spots are counted manually now, we propose automatic counting and radius estimation methods by computer. To count light spots by computer, we realize it by face detection manner with Support Vector Machine. To estimate radius of light spot, we use circle fitting by robust statistic. The proposed method gives higher accuracy than ImageJ which is the generated light spot detection software in cell biology. The effectiveness of the radius estimating is also shown by experiments.
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