Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
A critical view of pyramid segmentation algorithms
Pattern Recognition Letters
Robust Real-Time Face Detection
International Journal of Computer Vision
Approximative graph pyramid solution of the E-TSP
Image and Vision Computing
The eccentricity transform (of a digital shape)
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
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Regions in an image graph can be described by their spanning tree. A graph pyramid is a stack of image graphs at different granularities. Integral features capture important properties of these regions and the associated trees. We compute the depth of a rooted tree, its diameter and the center which becomes the root in the top-down decomposition of a region. The integral tree is an intermediate representation labeling each vertex of the tree with the integral feature(s) of the subtree. Parallel algorithms efficiently compute the integral trees for subtree depth and diameter enabling local decisions with global validity in subsequent top-down processes.