Survey of 3d image segmentation methods
Oliver Wirjadi
2022Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology)100 citationsDOIOpen Access PDF
Abstract
This report reviews selected image binarization and segmentation methods that have been proposed and which are suitable for the processing of volume images.The focus is on thresholding, region growing, and shape-based methods.Rather than trying to give a complete overview of the field, we review the original ideas and concepts of selected methods, because we believe this information to be important for judging when and under what circumstances a segmentation algorithm can be expected to work properly.
Topics & Concepts
ThresholdingSegmentationArtificial intelligenceFocus (optics)Image segmentationComputer scienceComputer visionScale-space segmentationSegmentation-based object categorizationImage processingImage (mathematics)Region growingField (mathematics)Pattern recognition (psychology)MathematicsPure mathematicsPhysicsOpticsMedical Image Segmentation TechniquesImage and Object Detection TechniquesAdvanced Image and Video Retrieval Techniques