Attribute openings, thinnings, and granulometries
Computer Vision and Image Understanding
Connected filtering and segmentation using component trees
Computer Vision and Image Understanding
Morphology on Label Images: Flat-Type Operators and Connections
Journal of Mathematical Imaging and Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Antiextensive connected operators for image and sequence processing
IEEE Transactions on Image Processing
Building the Component Tree in Quasi-Linear Time
IEEE Transactions on Image Processing
Interactive segmentation based on component-trees
Pattern Recognition
A comparison of two tree representations for data-driven volumetric image filtering
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Revisiting component tree based segmentation using meaningful photometric informations
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Component-Trees and Multivalued Images: Structural Properties
Journal of Mathematical Imaging and Vision
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Component-trees provide efficient ways to define filtering-based procedures on grey-level images. We propose an extension of the notion of component-trees to the case of "non grey-level" images (i.e. images taking their values in partially-ordered sets) including in particular - but not exclusively - colour images. Experiments performed on such images emphasise the interest of the approach.