TY - GEN
T1 - Geodesic active contours applied to texture feature space
AU - Sagiv, Chen
AU - Sochen, Nir A.
AU - Zeevi, Yehoshua Y.
N1 - Publisher Copyright:
© Springer-Verlag and IEEE/CS 2001.
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84937435425&partnerID=8YFLogxK
U2 - 10.1007/3-540-47778-0_32
DO - 10.1007/3-540-47778-0_32
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AN - SCOPUS:84937435425
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 344
EP - 352
BT - Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings
A2 - Kerckhove, Michael
PB - Springer Verlag
T2 - 3rd International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001
Y2 - 7 July 2001 through 8 July 2001
ER -