Name
Title | ||
|---|---|---|
Segmentation of cell nuclei in tissue by combining seeded watersheds with gradient information |
Abstract | ||
|---|---|---|
This paper deals with the segmentation of cell nuclei in tissue. We present a region-based segmentation method where seeds representing object- and background-pixels are created by morphological filtering. The seeds are then used as a starting-point for watershed segmentation of the gradient magnitude of the original image. Over-segmented objects are thereafter merged baded on the gradient magnitude between the adjacent objects. The method was tested on a total of 726 cell nuclei in 7 images, and 95% correct segmentation was achieved. |
Year | Venue | Keywords |
|---|---|---|
2003 | SCIA | adjacent object,gradient magnitude,paper deal,correct segmentation,cell nucleus,watershed segmentation,region-based segmentation method,over-segmented object,gradient information,original image |
Field | DocType | Volume |
Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Filter (signal processing),Image segmentation,Watershed,Artificial intelligence,Gradient magnitude | Conference | 2749 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-40601-8 | 4 |
PageRank | References | Authors |
0.39 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carolina Wählby | 1 | 41 | 6.76 |
| ewert bengtsson | 2 | 135 | 25.36 |