Geodesic Active Contours Applied to Texture Feature Space
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Summary
The active contour method is applied to the Gaborian feature space of images and a method for texture segmentation is obtained, which calculates six localized features based on theGabor transform of the image.
- Published
- 2001-07-07
- Cited by
- 51
- References
- 17
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8520215
References
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- Segmentation of Bone in Clinical Knee MRI Using Texture-Based Geodesic Active Contours
Cited by
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- Medical image segmentation based on Mumford-Shah model
- Von Pixeln zu Regionen: partielle Differentialgleichungen in der Bildanalyse
- Optimal Graph Search Segmentation Using Arc-Weighted Graph for Simultaneous Surface Detection of Bladder and Prostate
- Matching pursuit-based shape description and recognition in active contours
- Image sequence segmentation using curve evolution
- A dynamical systems approach to shape estimation via geometric active deformable models
- Segmentation with shape and intensity priors
- Texture image segmentation using LTP-based active contour model
- Texture Image Segmentation Using Without Re-initialization Geodesic Active Contour Model
- Integrating prior shape models into level-set approaches
- Active contour model based on LTP code for texture image segmentation
- Integrated 3D medical image processing and analysis system
- Brain aneurysm segmentation in CTA and 3DRA using geodesic active regions based on second order prototype features and nonparametric density estimation
- A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
- Compar ison of Level Set-based Active Contour Models on Subcor tical Image Segmentation
- Integrated active contours for texture segmentation
- A SHAPE INDUCED ANISOTROPIC FLOWFOR VOLUMETRIC VASCULAR SEGMENTATION IN MRA
- The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties
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