2015 · 12 citations · 0 references
ComputingComputer ScienceOcean EngineeringBiomedical ImagingComputer VisionUnderwater AcousticsAcoustic ImagingAcoustic Signal ProcessingImage AnalysisImage SegmentationSemantic SegmentationSonar SystemsMarkov Random Field ModelsMarkov Random Field SegmentationMarkov Random FieldsRegional Growth AnalysisSonar Image ProcessingSonar ImagingUltrasound Image SegmentationUnderwater Image Segmentation
Image segmentation method combined with Markov random field (MRF) model and regional growth image in this paper is proposed to achieve the accuracy of sonar image segmentation. First of all, the characteristics of field and the label field of sonar image is established through the MRF model; secondly, the further image segmentation is processed by region growing based on the initial image segmentation by ICM algorithm, and this reduced segmentation plaques caused by the MRF method on image segmentation. Finally, experimental results show that the method in this paper can obtain the image segmentation effectively.