Hierarchical regions matching in image sequences through association graph

We present a hierarchical method to match regions in image sequences based in graph theory. First, we build a graph representation for each image, the so-called tree of critical lakes, used in the multiscale watershed. In a second step, assignments between regions in subsequent images are accomplish...

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Bibliographic Details
Main Authors: de Carvalho, M.A.G., de Alencar Lotufo, R.
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Graph theory
Image representation
Image segmentation
Image sequences
Lakes
Morphology
Pattern matching
Pattern recognition
Tree graphs
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Summary:We present a hierarchical method to match regions in image sequences based in graph theory. First, we build a graph representation for each image, the so-called tree of critical lakes, used in the multiscale watershed. In a second step, assignments between regions in subsequent images are accomplished through maximum clique detection in a association graph.
DOI:10.1109/SIBGRAPI.2001.963102