Abstract
The present study concerns the phase information in the complex image resulting from the application of frequency- and-orientation-selective Gabor filters. The image phase is made up of a global linear part and a local phase. A strong variation of the phase occurs in the image when a boundary between two different regions is crossed. Two methods using local phase information for segmenting textures have been recently advanced. In the first one, the local phase is obtained by unwrapping the phase of the filtered image and by computing the global linear component. The second method derives the local phase from the filtered image without a phase unwrapping. Both methods are rapid but cannot be implemented with filters other than horizontal and vertical ones. Another method, which uses the phase-gradient information and allows filtering in any direction, achieves a more accurate segmentation. This new method does not require phase unwrapping since the phase gradient is obtained from the convolution of the input image with the filter gradient. We propose a method, both robust and rapid, which is a combination of the first and the third approaches, allowing use of filters with any orientation.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
A. Nicoulin, “Analyse d'images par spectre local de phase”, Presses Polytechniques et Universitaires Romandes (Mars 1990).
J.M.H. Du Buf, “Gabor phase in texture discrimination”, Signal Processing, Vol. 21 (janvier 1990), pp. 221–240.
J.M.H. Du Buf and P. Heitkämper, “Texture features based on Gabor phase”, Signal Processing, Vol. 23 (1991), pp. 225–244.
A.C. Bovik, M. Clark and W.S. Geisler, “Multichannel texture analysis using localized spatial filters”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12 (janvier 1990), pp. 53–73.
K. Langley, T.J. Atherton, R.G. Wilson and M.H.E. Lacombe, “Vertical and horizontal disparities from phase”, Proc. of 1st E.C.C.V., Antibes, New York, Springer-Verlag, 1990, pp. 315–325.
K. Langley, D.J. Fleet and T. Atherton, “Multiple motions from instantaneous frequency”, Proc. of IEEE CVPR, Champain, Il., 1992, pp. 846–849.
D.J. Fleet and A.D. Jepson, “Stability of phase information”, I.E.E.E. P.A.M.I., vol. 15, 1993,pp. 1253–1267.
A.M. Landraud, “Vision-based model of artificial texture perception”, SPI/SPSE Symposium on Electronic Imaging Science & Technology, San Jose, Ca, USA (February 24–March 1, 1991).
S. Oh Yum, A.M. Landraud and G. Stamon, “Une méthode de classification des textures utilisant l'information dérivée de la phase dans un système de filtrage multicanaux”, Colloque AGI'94, Poitiers (1994), pp. 349–352.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Landraud, A.M., Yum, S.O. (1995). Texture segmentation using local phase differences in Gabor filtered images. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_296
Download citation
DOI: https://doi.org/10.1007/3-540-60298-4_296
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60298-9
Online ISBN: 978-3-540-44787-0
eBook Packages: Springer Book Archive