Name
Abstract | ||
|---|---|---|
The objective of separating touching objects in an image is a very difficult task. The task is all the more difficult when the touching objects are healthy tissues and unhealthy tissues of lesions in human brain. A gray level MR image may be considered as a topographic relief and thus Watershed segmentation is used. Watershed refers to a ridge that divides areas drained by different river systems. A catchment basin is interpreted as a geographical area draining into a river or reservoir. The concept of watershed and catchment basins are used for analyzing biological tissues. An MR image segmentation method is developed using Distance and Watershed Transforms. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-12012-6_28 | PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2014, VOL 2 |
Keywords | Field | DocType |
Watershed,Watershed lines,Catchment basins,Distance Transform | Anatomy,Computer science,Skull bone,Watershed,Human brain,Distance transform,Lesion segmentation | Conference |
Volume | ISSN | Citations |
328 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ankita Mitra | 1 | 0 | 0.68 |
| Arunava De | 2 | 19 | 3.06 |
| Anup Kumar Bhattacharjee | 3 | 39 | 7.18 |