Unsupervised segmentation of scenes containing vegetation (Forsythia) and soil by hierarchical analysis of bi-dimensional histograms

Authors:
A. Clément;B. Vigouroux
Affiliations:
Laboratoire d'Ingénierie des Systèmes Automatisés (LISA), Institut Universitaire de Technologie, Génie Electrique et Informatique Industrielle, BP 42018, Angers Cedex 49016, Fr ...;Laboratoire d'Ingénierie des Systèmes Automatisés (LISA), Institut Universitaire de Technologie, Génie Electrique et Informatique Industrielle, BP 42018, Angers Cedex 49016, Fr ...
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

An unsupervised algorithm for the segmentation of scenes containing vegetation and soil is presented. It is based on a hierarchical analysis of bi-dimensional color histograms. Its performances reveal as good as those obtained from an expert (manual) segmentation, and from a neural network approach.