Search results for "Majority rule"

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A multiscale approach to automatic and unsupervised retinal vessel segmentation using Self-Organizing Maps

2016

In this paper an automatic unsupervised method for retinal vessel segmentation is described. Self-Organizing Map, modified Fuzzy C-Means, STAPLE algorithms and majority voting strategy were adopted to identify a segmentation of the retinal vessels. The performance of the proposed method was evaluated on the DRIVE database.

Self-organizing mapMajority ruleComputer science0206 medical engineeringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySelf-organizing mapFuzzy logicCLAHE030218 nuclear medicine & medical imagingRetinal vessel03 medical and health scienceschemistry.chemical_compound0302 clinical medicineMajority votingSegmentationComputer visionComputingMethodologies_COMPUTERGRAPHICSFuzzy C-Mean1707Settore INF/01 - Informaticabusiness.industrySTAPLERetinal020601 biomedical engineeringRetinal vesselHuman-Computer InteractionComputer Networks and CommunicationchemistryAdaptive histogram equalizationArtificial intelligencebusinessSoftware
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