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Scaling Theorems for Zero Crossings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uniqueness of the Gaussian Kernel for Scale-Space Filtering
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Representations based on zero-crossings in scale-space
Readings in computer vision: issues, problems, principles, and paradigms
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Scale-Space and Edge Detection Using Anisotropic Diffusion
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Scale-Space for Discrete Signals
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Generic Neighborhood Operators
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale and the differential structure of images
Image and Vision Computing - Special issue: information processing in medical imaging 1991
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Pthreads programming
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Scale-Space Derived From B-Splines
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Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Scale-Space Theory in Computer Vision
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Algorithms for Image Processing and Computer Vision
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Tissue Classification Based on 3D Local Intensity Structures for Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Scale-Space with Casual Time Direction
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
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MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
A Review of Nonlinear Diffusion Filtering
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
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Linear Spatio-Temporal Scale-Space
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The Influence of the gamma-Parameter on Feature Detection with Automatic Scale Selection
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Multiscale detection of curvilinear structures in 2-D and 3-D image data
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
On the Axioms of Scale Space Theory
Journal of Mathematical Imaging and Vision
On the Influence of Scale Selection on Feature Detection for the Case of Linelike Structures
International Journal of Computer Vision
Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis
Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis
Digital Image Processing (3rd Edition)
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Steerable Features for Statistical 3D Dendrite Detection
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Full affine wavelets are scale-space with a twist
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Segmentation of pulmonary vascular trees from thoracic 3D CT images
Journal of Biomedical Imaging
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Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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The blood vessels and nerve trees consist of tubular objects interconnected into a complex tree- or web-like structure that has a range of structural scale 5 µm diameter capillaries to 3 cm aorta. This large-scale range presents two major problems; one is just making the measurements, and the other is the exponential increase of component numbers with decreasing scale. With the remarkable increase in the volume imaged by, and resolution of, modern day 3D imagers, it is almost impossible to make manual tracking of the complex multiscale parameters from those large image data sets. In addition, the manual tracking is quite subjective and unreliable. We propose a solution for automation of an adaptive nonsupervised system for tracking tubular objects based on multiscale framework and use of Hessian-based object shape detector incorporating National Library ofMedicine Insight Segmentation and Registration Toolkit (ITK) image processing libraries.