Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
A review of recent texture segmentation and feature extraction techniques
CVGIP: Image Understanding
A multiscale algorithm for image segmentation by variational method
SIAM Journal on Numerical Analysis
Motion of multiple junctions: a level set approach
Journal of Computational Physics
Topographic distance and watershed lines
Signal Processing - Special issue on mathematical morphology and its applications to signal processing
Affine invariant segmentation by variational method
SIAM Journal on Applied Mathematics
A variational level set approach to multiphase motion
Journal of Computational Physics
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Regular Article: Cellular Automaton Growth on Z2: Theorems, Examples, and Problems
Advances in Applied Mathematics
Efficient algorithms for diffusion-generated motion by mean curvature
Journal of Computational Physics
Techniques for the translation of MATLAB programs into Fortran 90
ACM Transactions on Programming Languages and Systems (TOPLAS)
Convolution—thresholding methods for interface motion
Journal of Computational Physics
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
Watersnakes: Energy-Driven Watershed Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Defining and Measuring the Productivity of Programming Languages
International Journal of High Performance Computing Applications
Globally Optimal Geodesic Active Contours
Journal of Mathematical Imaging and Vision
International Journal of Computer Vision
Active mask segmentation of fluorescence microscope images
IEEE Transactions on Image Processing
Voronoi-Based segmentation of cells on image manifolds
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
IEEE Transactions on Image Processing
Multigrid Geometric Active Contour Models
IEEE Transactions on Image Processing
Active mask segmentation of fluorescence microscope images
IEEE Transactions on Image Processing
Deconvolving Active Contours for Fluorescence Microscopy Images
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Region-based segmentation of parasites for high-throughput screening
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
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We propose a new active mask algorithm for the segmentation of fluorescence microscope images of punctate patterns. It combines the (a) flexibility offered by active-contour methods, (b) speed offered by multiresolution methods, (c) smoothing offered by multiscale methods, and (d) statistical modeling offered by region-growing methods into a fast and accurate segmentation tool. The framework moves from the idea of the "contour" to that of "inside and outside," or masks, allowing for easy multidimensional segmentation. It adapts to the topology of the image through the use of multiple masks. The algorithm is almost invariant under initialization, allowing for random initialization, and uses a few easily tunable parameters. Experiments show that the active mask algorithm matches the ground truth well and outperforms the algorithm widely used in fluorescence microscopy, seeded watershed, both qualitatively, as well as quantitatively.