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EVOW
2005
Springer

Region Merging for Severe Oversegmented Images Using a Hierarchical Social Metaheuristic

14 years 21 days ago
Region Merging for Severe Oversegmented Images Using a Hierarchical Social Metaheuristic
This paper proposes a new evolutionary region merging method to improve segmentation quality result on oversegmented images. The initial segmented image is described by a modified Region Adjacency Graph model. In a second phase, this graph is successively partitioned in a hierarchical fashion into two subgraphs, corresponding to the two most significant components of the actual image, until a termination condition is met. This graph-partitioning task is solved as a variant of the min-cut problem (normalized cut) using a Hierarchical Social (HS) metaheuristic. We applied the proposed approach on different standard test images, with high-quality visual and objective segmentation results.
Abraham Duarte, Ángel Sánchez, Felip
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where EVOW
Authors Abraham Duarte, Ángel Sánchez, Felipe Fernández, Antonio Sanz
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