Geodesic active contours applied to texture feature space

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

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

13 Scopus citations


Gabor Analysis is frequently used for texture analysis and segmentation. Once the Gaborian feature space is generated it may be interpreted in various ways for image analysis and segmentation. Image segmentation can also be obtained via the application of "snakes" or active contour mechanism, which is usually used for gray-level images. In this study we apply the active contour method to the Gaborian feature space of images and obtain a method for texture segmentation. We calculate six localized features based on the Gabor transform of the image. These are the mean and variance of the localized frequency, orientation and intensity. This feature space is presented, via the Beltrami framework, as a Riemannian manifold. The stopping term, in the geodesic snakes mechanism, is derived from the metric of the features manifold. Experimental results obtained by application of the scheme to test images are presented.

Original languageEnglish
Title of host publicationScale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings
EditorsMichael Kerckhove
PublisherSpringer Verlag
Number of pages9
ISBN (Electronic)9783540423171
StatePublished - 2001
Event3rd International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001 - Vancouver, Canada
Duration: 7 Jul 20018 Jul 2001

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


Conference3rd International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001


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