Texture Segmentation Using Active Contours Driven by Local Steerable Features

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Han Zhao

Pages:

543-546

DOI:

10.4028/www.scientific.net/AMM.130-134.543

Citation:

D. Lee and H. B. Wang, "Texture Segmentation Using Active Contours Driven by Local Steerable Features", Applied Mechanics and Materials, Vols. 130-134, pp. 543-546, 2012

Online since:

October 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.