Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context-free attentional operators: the generalized symmetry transform
International Journal of Computer Vision - Special issue on qualitative vision
Real-time attention for robotic vision
Real-Time Imaging - Special issue on natural and artificial real-time imaging and vision
Preprocessing of face images: detection of features and pose normalization
Computer Vision and Image Understanding
Computational Framework for Segmentation and Grouping
Computational Framework for Segmentation and Grouping
BioSig: an imaging bioinformatics system for phenotypic analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A unified approach to noise removal, image enhancement, and shape recovery
IEEE Transactions on Image Processing
Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Segmentation of three dimensional cell culture models from a single focal plane
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
3D segmentation of mammospheres for localization studies
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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Cell-based fluorescence imaging assays are heterogeneous requiring collection of a large number of images for detailed quantitative analysis. Complexities arise as a result of variation in spatial nonuniformity, shape, overlapping compartments, and scale. A new technique and methodology has been developed and tested for delineating subcellular morphology and partitioning overlapping compartments at multiple scales. This system is packaged as an integrated software platform for quantifying images that are obtained through fluorescence microscopy. Proposed methods are model-based, leveraging geometric shape properties of subcellular compartments and corresponding protein localization. From the morphological perspective, convexity constraint is imposed to delineate, partition, and group nuclear compartments. From the protein localization perspective, radial symmetry is imposed to localize punctate protein events at sub-micron resolution. The technique has been tested against 196 images that were generated to study centrosome abnormalities. Computed representations are evaluated against the ground truth annotation for comparative analysis.