A Novel Adaptive Level Set Segmentation Method
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Summary
Experimental results show that the comprehensive performance indicators, such as accuracy, speed, and stability, can be significantly improved by using the improved adaptive fusing level set method.
- Type
- article
- Published
- 2014-09-01
- Cited by
- 0
- References
- 20
- Access
- Open access
- OpenAlex
- https://openalex.org/W25254066
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2676893
Keywords
Political science
References
- Fuzzy Speed Function Based Active Contour Model for Segmentation of Pulmonary Nodules
- Scale Space and Variational Methods in Computer Vision
- Region-based strategies for active contour models
- A robust medical image segmentation method using KL distance and local neighborhood information
- Snakes: Active contour models
- Tracking objects using density matching and shape priors
- Implicit Active Contours Driven by Local Binary Fitting Energy
- A review of algorithms for medical image segmentation and their applications to the female pelvic cavity
- Level set evolution without re-initialization: a new variational formulation
- Minimization of Region-Scalable Fitting Energy for Image Segmentation
- Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
- Fast Distance Preserving Level Set Evolution for Medical Image Segmentation
- Meta-heuristic Approaches for Active Contour Model based Medical Image Segmentation
- Adaptive Distance Preserving Level Set Evolution for Image Segmentation: Adaptive Distance Preserving Level Set Evolution for Image Segmentation
- Efficient Segmentation of Piecewise Smooth Images
- On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
- AND T
- Active contours without edges
- Adaptive Distance Preserving Level Set Evolution for Image Segmentation
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