Jordi Freixenet, Xavier Muñoz, Joan Martí, Xavier Lladó
Computer Vision and Robotics Group. University of Girona
Campus de Montilivi 17071. Girona, Spain
Email: {jordif,xmunoz,joanm,llado}@eia.udg.es
A colour texture segmentation method which unifies region and
boundary information is presented in this paper. The fusion of
several approaches which integrate both information sources allows
us to exploit the benefits of each one. We propose a segmentation
method which uses a coarse detection of the perceptual (colour and
texture) edges of the image to adequately place and initialise a
set of active regions. Colour texture of regions is modelled by
the conjunction of non-parametric techniques of kernel density
estimation, which allow to estimate the colour behaviour, and
classical co-occurrence matrix based texture features. When the
region information is defined, accurate boundary information can
be extracted. Afterwards, regions concurrently compete for the
image pixels in order to segment the whole image taking both
information sources into account. In contrast with other
approaches, our method achieves relevant results on images with
regions with the same texture and different colour (as well as
with regions with the same colour and different texture),
demonstrating the performance of our proposal. Furthermore, the
method has been quantitatively evaluated and compared on a set of
mosaic images, and results on real images are shown and analysed.
