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On threshold selection using clustering criteria
318
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0
References
1985
Year
EngineeringThreshold SelectionOptimization-based Data MiningImage AnalysisData MiningPattern RecognitionBiostatisticsComputational ImagingEdge DetectionMachine VisionN. OtsuKnowledge DiscoveryComputer ScienceOptical Image RecognitionImage EnhancementComputer VisionThreshold Selection MethodFuzzy ClusteringImage SegmentationT. Ridler
The threshold selection method of N. Otsu (ibid., vol.SMC-9, p.62-6, 1979) is shown to break down for a certain range of object-to-background pixel population ratios. Modifications to Otsu's method are proposed to overcome some of its limitations. The findings are also relevant to the closely related methods of T. Ridler (1978) and H.J. Trussell (1979).