Search results for "Morphological filter"

showing 3 items of 3 documents

Automatic skull stripping in MRI based on morphological filters and fuzzy c-means segmentation

2012

In this paper a new automatic skull stripping method for T1-weighted MR image of human brain is presented. Skull stripping is a process that allows to separate the brain from the rest of tissues. The proposed method is based on a 2D brain extraction making use of fuzzy c-means segmentation and morphological operators applied on transversal slices. The approach is extended to the 3D case, taking into account the result obtained from the preceding slice to solve the organ splitting problem. The proposed approach is compared with BET (Brain Extraction Tool) implemented in MRIcro software.

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensitivity and SpecificityFuzzy logicPattern Recognition AutomatedFuzzy LogicImage Interpretation Computer-AssistedmedicineHumansSegmentationComputer visionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testSkull Stripping Fuzzy C-means Morphological Filters.business.industrySkullProcess (computing)BrainReproducibility of ResultsMagnetic resonance imagingImage segmentationImage EnhancementMagnetic Resonance ImagingSubtraction TechniquePattern recognition (psychology)Skull strippingArtificial intelligenceMr imagesbusinessAlgorithms2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Mathematical Morphology Based on Fuzzy Operators

1993

A vision procedure may be considered as the repeated application of image operators until the vision goal is reached. The type of these operators and the spaces on which they are defined and act depends on the specific problem and on what we are searching on the image. Morphological operations, as filtering, edge detection, skeletonizing, and so on, are mainly required at low and medium levels of the vision procedure, where local and global knowledge is used to enhance the image information content, before a final decision about the image is taken.

Mathematical optimizationFuzzy classificationbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFuzzy operatorsPattern recognitionType (model theory)Mathematical morphologySkeletonizationEdge detectionImage (mathematics)Artificial intelligenceMorphological filterbusiness
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Programmable opticaldigital processor for rank order and morphological filtering

1995

A flexible hybrid opto-electronic processor for rank-order and morphological filtering is presented. The system is based on the shadow-casting convolver architecture, and the threshold decomposition concept. It provides the possibility of programming the input image and structuring element at video rate. The possibilities of the processor are experimentally demonstrated.

OpticsStructuring elementbusiness.industryComputer scienceMorphological filteringComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONDecomposition (computer science)Electrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsImage (mathematics)Optics Communications
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