Localizing Region-Based Active Contours
Top Cited Papers
- 30 September 2008
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 17 (11), 2029-2039
- https://doi.org/10.1109/tip.2008.2004611
Abstract
In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global image statistics and evolve a contour based on local information. Localized contours are capable of segmenting objects with heterogeneous feature profiles that would be difficult to capture correctly using a standard global method. The presented technique is versatile enough to be used with any global region-based active contour energy and instill in it the benefits of localization. We describe this framework and demonstrate the localization of three well-known energies in order to illustrate how our framework can be applied to any energy. We then compare each localized energy to its global counterpart to show the improvements that can be achieved. Next, an in-depth study of the behaviors of these energies in response to the degree of localization is given. Finally, we show results on challenging images to illustrate the robust and accurate segmentations that are possible with this new class of active contour models.Keywords
This publication has 27 references indexed in Scilit:
- Efficient Segmentation of Piecewise Smooth ImagesPublished by Springer Science and Business Media LLC ,2007
- Γ-Convergence Approximation to Piecewise Smooth Medical Image SegmentationPublished by Springer Science and Business Media LLC ,2006
- A TV flow based local scale estimate and its application to texture discriminationJournal of Visual Communication and Image Representation, 2006
- A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and ShapeInternational Journal of Computer Vision, 2006
- Level Set Methods and Their Applications in Image ScienceCommunications in Mathematical Sciences, 2003
- A Fully Global Approach to Image Segmentation via Coupled Curve Evolution EquationsJournal of Visual Communication and Image Representation, 2002
- Active contours without edgesIEEE Transactions on Image Processing, 2001
- Local scale control for edge detection and blur estimationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998
- Conformal curvature flows: From phase transitions to active visionArchive for Rational Mechanics and Analysis, 1996
- Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996