Attribute openings, thinnings, and granulometries
Computer Vision and Image Understanding
Connected filtering and segmentation using component trees
Computer Vision and Image Understanding
Tree Representation for Image Matching and Object Recognition
DCGI '99 Proceedings of the 8th International Conference on Discrete Geometry for Computer Imagery
Efficient Algorithms to Implement the Confinement Tree
DGCI '00 Proceedings of the 9th International Conference on Discrete Geometry for Computer Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mask-Based Second-Generation Connectivity and Attribute Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comparative evaluation of interactive segmentation algorithms
Pattern Recognition
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
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Component-trees associate to a discrete grey-level image a descriptive data structure induced by the inclusion relation between the binary components obtained at successive level-sets. This article presents a method to extract a subset of the component-tree of an image enabling to fit at best a given binary target selected beforehand in the image. A proof of the algorithmic efficiency of this method is proposed. Application examples related to the extraction of drop caps from ancient documents emphasise the usefulness of this technique in the context of assisted segmentation.