2010 · 11 citations · 3 references
Veterinary MedicineOral RadiologyRadiologyComputer VisionDiagnostic ImagingDiagnostic RadiologyComputed TomographyFracture DetectionFracture DiagnosticsFracture EvaluationImage SegmentationRadiographic ImagingComputer-aided Fracture DetectionDigital Radiography Fracture DetectionFracture IdentificationMathematical MorphologySkeleton ExtractionSkeleton IdentificationStatistical MomentsX-ray Imaging Analysis
This article proposes a method to identify fractures in human X-ray photos. According to the characteristics of X-ray image, the high-order statistical moments adopted to verify segmentation have been combined with partial threshold method to segment bone image. After the segmentation, mathematical morphology will be applied to extract the target border and cover the boundary of fractures. By superposing the target border image and covering the extracted skeleton, the precise location of fractures can be recognized and therefore the fractures in the X-ray photos will be identified.
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Active Contour Model with Shape Constraints for Bone Fracture Detection
Yuanyuan Jia · 2006 · 16 citations