Gabor-space geodesic active contours

Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


A novel scheme for texture segmentation is presented. Our algorithm is based on generalizing the intensity-based geodesic active contours model to the Gabor spatial-feature space of images. First, we apply the Gabor-Morlet transform to the image using self similar Gabor functions, and then implement the geodesic active snakes mechanism in this space. The spatial-feature space is represented, via the Beltrami framework, as a Riemannian manifold. The stopping term, in the geodesic snake mechanism, is generalized and is derived from the metric of the Gabor spatial-feature manifold. Experimental results obtained by applying the scheme to test images are presented.

Original languageEnglish
Title of host publicationAlgebraic Frames for the Perception-Action Cycle - 2nd International Workshop, AFPAC 2000, Proceedings
EditorsGerald Sommer, Yehoshua Y. Zeevi
PublisherSpringer Verlag
Number of pages10
ISBN (Electronic)3540410139, 9783540410133
StatePublished - 2000
Event2nd International Workshop on Algebraic Frames for the Perception-Action Cycle, AFPAC 2000 - Kiel, Germany
Duration: 10 Sep 200011 Sep 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Workshop on Algebraic Frames for the Perception-Action Cycle, AFPAC 2000


  • Anisotropic diffusion
  • Beltrami framework
  • Gabor analysis
  • Geodesic active contours
  • Image manifolds
  • Texture segmentation


Dive into the research topics of 'Gabor-space geodesic active contours'. Together they form a unique fingerprint.

Cite this