A perception-based color space for illumination-invariant image processing
ACM SIGGRAPH 2008 papers
Convergence analysis of active contours
Image and Vision Computing
Region-based Deformable Net for automatic color image segmentation
Image and Vision Computing
Momentum Based Optimization Methods for Level Set Segmentation
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009
Perceptual optimization for scalable video compression based on visual masking principles
IEEE Transactions on Circuits and Systems for Video Technology
On two multigrid algorithms for modeling variational multiphase image segmentation
IEEE Transactions on Image Processing
Active mask segmentation of fluorescence microscope images
IEEE Transactions on Image Processing
Arranging and interpolating sparse unorganized feature points with geodesic circular arc
IEEE Transactions on Image Processing
Efficient numerical schemes for gradient vector flow
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Coarse-to-fine boundary location with a SOM-like method
IEEE Transactions on Neural Networks
On high-order denoising models and fast algorithms for vector-valued images
IEEE Transactions on Image Processing
Multigrid Algorithm for High Order Denoising
SIAM Journal on Imaging Sciences
Fast streaming 3D level set segmentation on the GPU for smooth multi-phase segmentation
Transactions on computational science XIII
Iterative Parameter-Choice and Multigrid Methods for Anisotropic Diffusion Denoising
SIAM Journal on Scientific Computing
3D information extraction using Region-based Deformable Net for monocular robot navigation
Journal of Visual Communication and Image Representation
Cell cycle phase detection with cell deformation analysis
Expert Systems with Applications: An International Journal
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Geometric active contour models are very popular partial differential equation-based tools in image analysis and computer vision. We present a new multigrid algorithm for the fast evolution of level-set-based geometric active contours and compare it with other established numerical schemes. We overcome the main bottleneck associated with most numerical implementations of geometric active contours, namely the need for very small time steps to avoid instability, by employing a very stable fully 2-D implicit-explicit time integration numerical scheme. The proposed scheme is more accurate and has improved rotational invariance properties compared with alternative split schemes, particularly when big time steps are utilized. We then apply properly designed multigrid methods to efficiently solve the occurring sparse linear system. The combined algorithm allows for the rapid evolution of the contour and convergence to its final configuration after very few iterations. Image segmentation experiments demonstrate the efficiency and accuracy of the method