Texture Segmentation Using Active Contours Driven by Local Steerable Features

Abstract:

Oriented filters are useful in many computer vision and image processing tasks. It is a kind of oriented filters, rotated very efficiently by taking a suitable linear combination of basis filters. Local steerable feature (LSF), which captures local structure corresponding to any orientation, is distinctive enough to provide useful identity orientation information. This paper investigates novel LSF-guided active contour approach for texture segmentation. The steerable filters are first employed to produce a new energy image, then, the active contour proposed by Chan-Vese (ACWE) is applied to the energy image. These active contours combine the advantages of both the LSF texture representation and the ACWE model, and yield high quality texture segmentation. The performance of the algorithm on some test images is presented and analyzed.

• Periodical: Applied Mechanics and Materials (Volumes 130-134)
• Pages: 543-546
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.130-134.543
• Online since: October 2011
• Authors: Dan Lee, Huai Bin Wang
• Keywords: Active Contour without Edges, Local Steerable Feature, Steerable Filters

References

[1] T. Chan and L. Vese: Active contours without edge, IEEE TIP, vol. 10 (2001) p.266–277.

[2] Michalis A. Savelonas, Dimitris K. Iakovidis, Dimitris Maroulis: LBP-guided active contours, Pattern Recogn. Lett. 29 (2008) p.1404–1415.

DOI: 10.1016/j.patrec.2008.02.013

[3] I. Kalliom¨aki and J. Lampinen: On steerability of gabor-type filters for feature detection, Pattern Recogn. Lett. 28 (2007) p.904–911.

DOI: 10.1016/j.patrec.2006.12.011

[4] M. Kass, A. Witkin, D. Terzopoulos. Snakes: Active contour models. Intl. Journal of Computer Vision 1 (1988) p.321–331.

DOI: 10.1007/bf00133570

[5] Yuanquan Wang, Yue Xiong, et al: Vector-valued Chan-Vese model driven by local histogram for texture segmentation, ICIP(2010) pp.645-648.

DOI: 10.1109/icip.2010.5651442

[6] Willian T. Freeman and Edward H. Adelson: The Design and Use of Steerable Filters, IEEE TIP, vol. 13 (1991) p.891 – 906.

[7] ZHANG Xiaoxun and JIA Yunde: Local Steerable Phase (LSP) Feature for Face Representation and Recognition, Pattern Recogn. Lett. (2006) pp.1363-1368.

DOI: 10.1109/cvpr.2006.177

[8] Francois Aguet, Stefan Geissbuhler, et al: Steerable Filters for Orientation Estimation and Localization of Fluorescent Dipoles, ISBI(2009) p.1166 – 1169.

DOI: 10.1109/isbi.2009.5193265

[9] Ozlem N. Subakan Baba C. Vemuri: Image Segmentation via Convolution of a Level-Set Function with a Rigaut Kernel, CVPR (2008) pp.1-6.

DOI: 10.1109/cvpr.2008.4587460

[10] C. Li, C. Kao, J.C. Gore, Z. Ding: Minimization of region scalable fitting energy for image segmentation, IEEE TIP, vol. 17 (2008) p.1940–(1949).

DOI: 10.1109/tip.2008.2002304