Perception-based image segmentation using the bounded irregular pyramid

Authors:
Rebeca Marfil;Antonio Bandera;Francisco Sandoval
Affiliations:
Grupo ISIS, Dpto. Tecnología Electrónica, ETSI Telecomunicación, Universidad de Málaga, Málaga, Spain;Grupo ISIS, Dpto. Tecnología Electrónica, ETSI Telecomunicación, Universidad de Málaga, Málaga, Spain;Grupo ISIS, Dpto. Tecnología Electrónica, ETSI Telecomunicación, Universidad de Málaga, Málaga, Spain
Venue:
Proceedings of the 29th DAGM conference on Pattern recognition
Year:
2007

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Abstract

This paper presents a bottom-up approach for fast segmentation of natural images. This approach has two main stages: firstly, it detects the homogeneous regions of the input image using a colour-based distance and then, it merges these regions using a more complex distance. Basically, this distance complements a contrast measure defined between regions with internal region descriptors and with attributes of the shared boundary. These two stages are performed over the same hierarchical framework: the Bounded Irregular Pyramid (BIP). The performance of the proposed algorithm has been quantitatively evaluated with respect to ground-truth segmentation data.