INVESTIGADORES
FLESIA Ana Georgina
congresos y reuniones científicas
Título:
A new approach to image segmentation with two-dimensional hidden Markov models
Autor/es:
JOSEF BAUMGARTNER; ANA G FLESIA; JAVIER GIMENEZ
Lugar:
Porto de Galhinas, Pernambuco,Brasil
Reunión:
Congreso; BRICS-CCI & CBIC 2013; 2013
Institución organizadora:
BRICS countries consorcium
Resumen:
Image segmentation is one of the fundamental
problems in computer vision. In this work, we present a new
segmentation algorithm that is based on the theory of twodimensional
hidden Markov models (2D-HMM). Unlike most 2DHMM
approaches we do not apply the Viterbi Algorithm, instead
we present a computationally efficient algorithm that propagates
the state probabilities through the image. This approach can
easily be extended to higher dimensions. We compare the
proposed method with a 2D-HMM standard algorithm using a
radiography, a satellite image as well as synthetic images. The
experimental results show that our approach is highly capable of
condensing image segments. This gives our algorithm a significant
advantage over the standard algorithm when dealing with noisy
images with few classes.