Perceptual Smoothing and Segmentation of Colour Textures
A multiscale representation of the texture image, generated by a
multiband smoothing algorithm based on human psychophysical measurements of
colour appearance is used as the input. Initial segmentation is achieved by
applying a clustering algorithm to the image at the coarsest level of
smoothing. The segmented clusters are then restructured in order to isolate
core clusters, i.e. patches in which the pixels are definitely associated with
the same region. The image pixels representing the core clusters are used to
form 3D colour histograms which are then used for probabilistic assignment of
all other pixels to the core clusters to form larger clusters and categorise the
rest of the image. The process of setting up
colour histograms and probabilistic reassignment of the pixels to the clusters
is then propagated through finer levels of smoothing until a full segmentation is
achieved at the highest level of resolution.
- M. Mirmehdi and M. Petrou. Segmentation of colour textures. In IEEE Transaction on Pattern Analysis and Machine Intelligence, 2(2):142-159, February 2000. Some colour images and results used in this paper.
- M. Mirmehdi and M. Petrou. A new smoothing approach for pattern-colour separability. Scientia Iranica, 6(1):9-17, August 1999.
- M. Petrou, M. Mirmehdi, and M. Coors. Perceptual smoothing and segmentation of colour textures. In Proceedings of the 5th European Conference on Computer Vision 98, Volume I, pages 623-639. Freiburg, Springer-Verlag, June 1998. 725K gzipped Postscript
- M. Mirmehdi and M. Petrou. Perceptual versus gaussian smoothing for pattern-colour separability. In Proceedings of the International Conference on Signal Processing and Communications, pages 136-140, Spain, February 1998. 442K gzipped Postscript
- M. Petrou, M. Mirmehdi, and M. Coors. Multilevel probabilistic relaxation. Proceedings of the Eighth British Machine Vision Conference 97, pages 60-69, BMVA Press, 1997. 268K gzipped Postscript.
Prof. M. Petrou is with the Department of Electronic and Electrical Engineering, University of Surrey, Guildford GU2 5XH, United Kingdom
Majid Mirmehdi,
M.Mirmehdi@cs.bris.ac.uk, February 2000