The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision
Globally adaptive region information for automatic color-texture image segmentation
Pattern Recognition Letters
Retrieving scale from quasi-stationary images
Pattern Recognition Letters
Shape-Based Mutual Segmentation
International Journal of Computer Vision
Narrow band region-based active contours and surfaces for 2D and 3D segmentation
Computer Vision and Image Understanding
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Fast wavelet-packet-based shift-invariant feature extraction
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Curvelet-based geodesic snakes for image segmentation with multiple objects
Pattern Recognition Letters
segmenting multiple textured objects using geodesic active contour and DWT
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Integrating local distribution information with level set for boundary extraction
Journal of Visual Communication and Image Representation
Unsupervised texture segmentation using active contours driven by the Chernoff gradient flow
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A variational approach to automatic segmentation of RNFL on OCT data sets of the retina
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Remote sensing image segmentation based on statistical region merging and nonlinear diffusion
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
Image segmentation algorithms based on the machine learning of features
Pattern Recognition Letters
A multiresolution method for tagline detection and indexing
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Robust optic disk segmentation from colour retinal images
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
A conditional random field approach to unsupervised texture image segmentation
EURASIP Journal on Advances in Signal Processing
Deformable probability maps: Probabilistic shape and appearance-based object segmentation
Computer Vision and Image Understanding
International Journal of Applied Mathematics and Computer Science
Gradient vector flow over manifold for active contours
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Entropy-Scale profiles for texture segmentation
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Bimodal texture segmentation with the Lee-Seo model
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Texture aware image segmentation using graph cuts and active contours
Pattern Recognition
Fast two-stage segmentation via non-local active contours in multiscale texture feature space
Pattern Recognition Letters
Information Sciences: an International Journal
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We address the issue of textured image segmentation in the context of the Gabor feature space of images. Gabor filters tuned to a set of orientations, scales and frequencies are applied to the images to create the Gabor feature space. A two-dimensional Riemannian manifold of local features is extracted via the Beltrami framework. The metric of this surface provides a good indicator of texture changes and is used, therefore, in a Beltrami-based diffusion mechanism and in a geodesic active contours algorithm for texture segmentation. The performance of the proposed algorithm is compared with that of the edgeless active contours algorithm applied for texture segmentation. Moreover, an integrated approach, extending the geodesic and edgeless active contours approaches to texture segmentation, is presented. We show that combining boundary and region information yields more robust and accurate texture segmentation results.