Sciweavers

709 search results - page 7 / 142
» Texture segmentation benchmark
Sort
View
ICPR
2008
IEEE
14 years 8 months ago
Region-based active contours and sparse representations for texture segmentation
In this paper we propose a rigorous framework for texture image segmentation relying on region-based active contours (RBAC) and sparse texture representation. Such representations...
François Lecellier, Gilles Aubert, Jalal Fa...
JEI
2007
199views more  JEI 2007»
13 years 7 months ago
New benchmark for image segmentation evaluation
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
ICCV
2003
IEEE
14 years 9 months ago
Texture Segmentation by Multiscale Aggregation of Filter Responses and Shape Elements
Texture segmentation is a difficult problem, as is apparent from camouflage pictures. A Textured region can contain texture elements of various sizes, each of which can itself be ...
Meirav Galun, Eitan Sharon, Ronen Basri, Achi Bran...
ECCV
2000
Springer
14 years 9 months ago
Significantly Different Textures: A Computational Model of Pre-attentive Texture Segmentation
Abstract. Recent human vision research [1] suggests modelling preattentive texture segmentation by taking a set of feature samples from a local region on each side of a hypothesize...
Ruth Rosenholz
CVPR
2010
IEEE
14 years 2 months ago
Motion Estimation with Non-Local Total Variation Regularization
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
Manuel Werlberger, Thomas Pock, Horst Bischof