Reconstrucción geodésica de imágenes a través de componentes conectadas (Image geodesic reconstruction by connected components)

Agustina Bouchet (abouchet@fi.mdp.edu.ar), Juan Igancio Pastore (jpastore@fi.mdp.edu.ar), Emilce Graciela Moler (egmoler@fi.mdp.edu.ar)


Universidad Nacional de Mar del Plata
This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2008
Volume: 6,   Issue: 5 
ISSN: 1548-0992


Abstract:
In this work, a reconstruction operator is defined using geodesic distance. As a consequence a method of segmentation of gray level digital images based on connected classes theory is presented. Considering that a digital image can be associated to a connected class, the connected theory of components emerges like a powerful tool in the Digital Processing Images. Based on this theory, an algorithm is developed. Possible application fields are enunciated. Segmentation of objects simply related or textured images is performed efficiently by this novel aproach.

Index Terms:
connected classes, connected components, geodesic reconstruction, segmentation   


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