Name
Title | ||
|---|---|---|
A discrete region competition approach incorporating weak edge enhancement for ultrasound image segmentation |
Abstract | ||
|---|---|---|
Ultrasound images are inherently difficult to analyze due to their echo texture, speckle noise and weak edges, Taking into account these characteristics, we present a new region-based approach for ultrasound image segmentation. It is composed of two primary algorithms, discrete region competition and weak edge enhancement. The discrete region competition features four techniques, region competition, statistical modeling of speckle, early vision modeling, and discrete concepts. In addition, to prevent regions from leaking out of the desired area across weak edges, edges located on the slowly varying slope are enhanced according to their position on the slope and the length of the slope. This new approach has been implemented and verified on clinical ultrasound images. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0167-8655(02)00175-7 | Pattern Recognition Letters |
Keywords | DocType | Volume |
discrete region competition approach,discrete region competition,clinical ultrasound image,new approach,region competition,discrete concept,varying slope,new region-based approach,ultrasound image segmentation,weak edge enhancement,early vision,weak edge,speckle,region segmentation,early vision modeling,edge enhancement,statistical model,speckle noise | Journal | 24 |
Issue | ISSN | Citations |
4-5 | Pattern Recognition Letters | 3 |
PageRank | References | Authors |
0.44 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chung-Ming Chen | 1 | 176 | 16.17 |
| H. H.-S. Lu | 2 | 99 | 13.45 |
| Yao-Lin Chen | 3 | 11 | 0.95 |