An automatically crown-trunk segmentation in tree drawing test

作者: Georgiana Simion , Florentina Anica Pintea , Vasile Gui

DOI: 10.1109/ISETC.2014.7010804

关键词: Pattern recognitionScale-space segmentationMinimum spanning tree-based segmentationImage segmentationTrunkComputer visionTrunk segmentationArtificial intelligenceSegmentation-based object categorizationSegmentationComputer scienceFeature (computer vision)

摘要: The projective tests are useful tools of investigating peoples' psychological profile. Among these tests, the Tree Drawing Test plays an important role. A relevant feature is represented by ratio between crown and truck diameters. This work presents a new crown-trunk segmentation method for tree drawing in order to extract automatically one most significant test, trunk

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