Publication | Open Access
BI-LEVEL IMAGE THRESHOLDING - A Fast Method
57
Citations
6
References
2008
Year
Unknown Venue
EngineeringImage AnalysisPattern RecognitionBiostatisticsComputational ImagingImage ThresholdingEdge DetectionComputational GeometryAutomatic Image ThresholdingMachine VisionMedical ImagingComputer ScienceMedical Image ComputingDominant Intensity LevelsImage EnhancementBi-level Image ThresholdingComputer VisionComputational BiologySystems BiologyImage SegmentationCell Detection
Abstract: Images with two dominant intensity levels are easily manually thresholded. For automatic image thresholding, most of the effective techniques are either too complex or too eager of computer resources. In this paper we present an iterative method for image thresholding that is simple, fast, effective and that requires minimal computer processing power. Images of micro and macroarray of genes have characteristics that allow the use of the presented method for thresholding.
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