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Creator | Title | Description | Subject | Date |
1 |
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Cates, Joshua E.; Lefohn, Aaron; Whitaker, Ross T. | GIST: an interactive, GPU-based level set segmentation tool for 3D medical images | While level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow to compute. Second, their formulation usually entails several free parameters which can be very difficult to correctl... | GIST; 3D medical images; Segmentation tool; Image segmentation | 2004-02-27 |
2 |
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Hansen, Charles D.; Whitaker, Ross T. | Interactive deformation and visualization of level set surfaces using graphics hardware | Deformable isosurfaces, implemented with level-set methods, have demonstrated a great potential in visualization for applications such as segmentation, surface processing, and surface reconstruction. Their usefulness has been limited, however, by their high computational cost and and reliance on sig... | Deformation; Level sets; Deformable models; Image segmentation; Volume visualization; GPU; Streaming computation; Isosurfaces | 2003 |
3 |
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Bhanu, Bir | Segmentation of complex outdoor scenes | A new simpler approach to image segmentation via recursive region splitting and merging is presented. Unlike other techniques the kernel of splitting is based on a generalization of a two class gradient relaxation method and merging uses a statistical analysis of variance. | Image segmentation; Outdoor scenes; Recursive region splitting; Segmentation algorithm | 1985 |
4 |
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Bhanu, Bir | Segmentation of images having unimodal distributions | A gradient relaxation method based on maximizing a criterion function is studied and compared to the nonlinear probabilistic relaxation method for the purpose of segmentation of images having unimodal distributions. Although both methods provide comparable segmentation results, the gradient method h... | Gradient relaxation method; Image segmentation; Segmentation algorithm | 1982 |
5 |
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Johnson, Christopher R. | Semi-automatic image segmentation: a bimodal thresholding approach | We have developed a semi-automatic image segmentation tool which combines conventional manual segmentation utilities with a novel automatic image segmentation algorithm. Manual segmentation is achieved by dropping control points and fitting cubic splines to these points. Automatic segmentation is a... | Image segmentation; Segmentation algorithms; Bimodal thresholding | 1994 |