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Merging regions based on the VDM distance F. Abad, J. Garca-Consuegra and G. Cisneros*

Summary: Merging regions based on the VDM distance
F. Abad, J. García-Consuegra and G. Cisneros*
Sección de Teledetección y SIG. Dpto. Informática. Universidad de Castilla-La Mancha.
Campus Universitario s/n. 02071. Spain.
Tel. +34. Fax. + e-mail: {fabad,jdgarcia}@info-ab.uclm.es
*Grupo de Tratamiento de Imágenes. Universidad Politécnica de Madrid.
ETS. Ing. Telecomunicación. Ciudad Universitaria. 28040. Madrid. Spain.
Tel. +34.1.336.73.53. Fax. +34.1.336.73.50. e-mail: gcp@gti.ssr.upm.es
In a per-object classification system, many authors have
advised a two-step process: First by obtaining small,
homegeneous objects, second by merging those regions. In
this paper, we present a new method to decide whether two
regions belong to the same class or not.
An extension of Chang and Li's method of adaptive region-
growing is proposed, in order to take into account the case of
multiband images. Region dispersion is calculated by means
of the Vector Degree of Match (VDM) distance, proposed by
Baraldi and Parmiggiani. This distance measures the
similarity degree of two n-dimensional vectors. Each intra-
region similarity is computed and then compared with other


Source: Abad, Francisco - Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València


Collections: Computer Technologies and Information Sciences