A Segmentation Method for Digital Images Based on Cluster Analysis

Authors:
Héctor Allende;Carlos Becerra;Jorge Galbiati
Affiliations:
Universidad Técnica Federico Santa María, Departamento de Informática, Casilla 110-V, Valparaíso, Chile and Universidad Adolfo Ibañez, Facultad de Ciencia y Tecnologí ...;Universidad Técnica Federico Santa María, Departamento de Informática, Casilla 110-V, Valparaíso, Chile;Pontificia Universidad Católica de Valparaíso, Instituto de Estadística, Casilla 4059, Valparaíso, Chile
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

Citing 3
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Abstract

We present a method for image segmentation, that is, to identify image points with an indication of the region or class they belong to. The proposed algorithm basically consists of two stages. First it starts by restoring the image from possible contamination. In the second stage it analyzes each pixel using a 3x3 sliding window. For the first pixel, it creates an objets consisting of that same pixel, and registers this object in an array. In the subsequent steps, a cluster analysis is applied to the surrounding eight pixels, an determines whether the central pixel belongs to one of the existing objects, or a new object has to be created, and registered in the array of objects.