Interactive exemplar-based segmentation toolkit for biomedical image analysis.

Our Research / Publications

janelia7_blocks-janelia7_biblio_header | block

International Symposium on Biomedical Imaging. 2015 Apr

Interactive exemplar-based segmentation toolkit for biomedical image analysis. Keller Lab

Li X, Zhou Z, Keller PJ, Zeng H, Liu T, Peng H

janelia7_blocks-janelia7_biblio_abstract | block

Abstract

In the field of biomedical imaging analysis on single-cell level, reliable and fast segmentation of the cell nuclei from the background on three-dimensional images is highly needed for the further analysis. In this work we propose an interactive cell segmentation toolkit that first establishes a set of exemplar regions from user input through an easy and intuitive interface in both 2D and 3D in real-time, then
extracts the shape and intensity features from those exemplars. Based on a local contrast-constrained region growing scheme, each connected component in the whole image would be filtered by the features from exemplars, forming an “exemplar-matching” group which passed the filtering and would be part of the final segmentation result, and a “non-exemplar-matching” group in which components
would be further segmented by the gradient vector field based algorithm. The results of the filtering process are visualized back to the user in near real-time, thus enhancing the experience in exemplar selecting and parameter tuning. The toolkit is distributed as a plugin within the open source Vaa3D system (http://vaa3d.org).

node:body | entity_field

Main Menu (Mobile)- Block

Main Menu - Block

Interactive exemplar-based segmentation toolkit for biomedical image analysis.

Abstract

Janelia Authors