This paper describes ongoing work on creating a benchmarking and validation dataset for biological image segmentation. While the primary target is biological images, we believe th...
In this work, we study the extraction of semantic objects using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Sp...
Typically 3-D MR and CT scans have a relatively high resolution in the scanning X;Y plane, but much lower resolution in the axial Z direction. This non-uniform sampling of an obje...
Ken Museth, David E. Breen, Leonid Zhukov, Ross T....
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Image segmentation plays an important role in many medical imaging systems, yet in complex circumstances it is still a challenging problem. Among many difficulties, problem caused ...