arXiv (Cornell University) · 2012 · 61 citations · 8 references
EngineeringMachine LearningImage ForensicsImage Sequence AnalysisStatistical Signal ProcessingImage AnalysisData SciencePattern RecognitionMatlab ToolboxPattern AnalysisExpectation-maximization AlgorithmEdge DetectionComputational GeometryGeometric ModelingMachine VisionInverse ProblemsComputer ScienceMedical Image ComputingOptical Image RecognitionSignal ProcessingComputer VisionNatural SciencesHmrf-em FrameworkMedical Image AnalysisImage Segmentation
In this project, we study the hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. We implement a MATLAB toolbox named HMRF-EM-image for 2D image segmentation using the HMRF-EM framework. This toolbox also implements edge-prior-preserving image segmentation, and can be easily reconfigured for other problems, such as 3D image segmentation.
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