On the Incorporation of Time-delay Regularization into Curvature-based Diffusion
Journal of Mathematical Imaging and Vision
Advanced algorithmic approaches to medical image segmentation
Speed Planning for a Maneuvering Motion
Journal of Intelligent and Robotic Systems
White Matter/Gray Matter Boundary Segmentation Using Geometric Snakes: A Fuzzy Deformable Model
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
A Coupled PDE Model of Nonlinear Diffusion for Image Smoothing and Segmentation
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Geometric Approach to Segmentation and Analysis of 3D Medical Images
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Energy Partitions and Image Segmentation
Journal of Mathematical Imaging and Vision
Coupled Parametric Active Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Analysis of Particle Motion in a Vector Image Field
Journal of Mathematical Imaging and Vision
Local or Global Minima: Flexible Dual-Front Active Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Virtual Environment Testbed for Training Laparoscopic Surgical Skills
Presence: Teleoperators and Virtual Environments
Image-based multiresolution implicit object modeling
EURASIP Journal on Applied Signal Processing
An extension of min/max flow framework
Image and Vision Computing
Graph-based tools for microscopic cellular image segmentation
Pattern Recognition
Efficient algorithms for image and high dimensional data processing using eikonal equation on graphs
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Geometric approach to segmentation and protein localization in cell cultured assays
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Learning parameter tuning for object extraction
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
A parallel fast sweeping method for the Eikonal equation
Journal of Computational Physics
Harmonic analysis filtering techniques for forced and decaying homogeneous isotropic turbulence
Computers & Mathematics with Applications
Guided depth enhancement via a fast marching method
Image and Vision Computing
Despeckling low SNR, low contrast ultrasound images via anisotropic level set diffusion
Multidimensional Systems and Signal Processing
A nonlinear level set model for image deblurring and denoising
The Visual Computer: International Journal of Computer Graphics
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We present a unified approach to noise removal, image enhancement, and shape recovery in images. The underlying approach relies on the level set formulation of the curve and surface motion, which leads to a class of PDE-based algorithms. Beginning with an image, the first stage of this approach removes noise and enhances the image by evolving the image under flow controlled by min/max curvature and by the mean curvature. This stage is applicable to both salt-and-pepper grey-scale noise and full-image continuous noise present in black and white images, grey-scale images, texture images, and color images. The noise removal/enhancement schemes applied in this stage contain only one enhancement parameter, which in most cases is automatically chosen. The other key advantage of our approach is that a stopping criteria is automatically picked from the image; continued application of the scheme produces no further change. The second stage of our approach is the shape recovery of a desired object; we again exploit the level set approach to evolve an initial curve/surface toward the desired boundary, driven by an image-dependent speed function that automatically stops at the desired boundary