Implicit active contour model with local and global intensity fitting energies
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Publication:460507
DOI10.1155/2013/367086zbMath1296.94047OpenAlexW2082461943WikidataQ59024053 ScholiaQ59024053MaRDI QIDQ460507
Publication date: 13 October 2014
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/367086
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
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Cites Work
- Variational level set methods for image segmentation based on both \(L^2\) and Sobolev gradients
- Level set evolution for boundary extraction based on a \(p\)-Laplace equation
- Adaptive level set evolution starting with a constant function
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- Probability density difference-based active contour for ultrasound image segmentation
- A geometric model for active contours in image processing
- Active contours without edges
- Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
- Minimization of Region-Scalable Fitting Energy for Image Segmentation
- Localizing Region-Based Active Contours
- Distance Regularized Level Set Evolution and Its Application to Image Segmentation
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