Guided Volume Editing based on Histogram Dissimilarity

dc.contributor.authorKarimov, Alexeyen_US
dc.contributor.authorMistelbauer, Gabrielen_US
dc.contributor.authorAuzinger, Thomasen_US
dc.contributor.authorBruckner, Stefanen_US
dc.contributor.editorH. Carr, K.-L. Ma, and G. Santuccien_US
dc.date.accessioned2015-05-22T12:50:59Z
dc.date.available2015-05-22T12:50:59Z
dc.date.issued2015en_US
dc.description.abstractSegmentation of volumetric data is an important part of many analysis pipelines, but frequently requires manual inspection and correction. While plenty of volume editing techniques exist, it remains cumbersome and errorprone for the user to find and select appropriate regions for editing. We propose an approach to improve volume editing by detecting potential segmentation defects while considering the underlying structure of the object of interest. Our method is based on a novel histogram dissimilarity measure between individual regions, derived from structural information extracted from the initial segmentation. Based on this information, our interactive system guides the user towards potential defects, provides integrated tools for their inspection, and automatically generates suggestions for their resolution. We demonstrate that our approach can reduce interaction effort and supports the user in a comprehensive investigation for high-quality segmentations.en_US
dc.description.number3en_US
dc.description.sectionheadersVolume Analysis and Classificationen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12621en_US
dc.identifier.pages091-100en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12621en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectDisplay algorithmsen_US
dc.subjectI.3.6 [Computer Graphics]en_US
dc.subjectMethodology and Techniquesen_US
dc.subjectInteraction techniquesen_US
dc.subjectI.4.6 [Image Processing and Computer Vision]en_US
dc.subjectSegmentationen_US
dc.subjectEdge and feature detectionen_US
dc.titleGuided Volume Editing based on Histogram Dissimilarityen_US
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