Name
Abstract | ||
|---|---|---|
A new algorithm for an effective and automatic segmentation of the carotid wall in ultrasonic images is proposed. It combines the speed of thresholding algorithms with the accuracy, flexibility and robustness of a successful geometric active contour model which incorporates an optimal image segmentation model in a level set framework. Due to the multiphase nature of these images, a sequential minimum cross entropy thresholding is used to get a first approximation of the segments, reducing the problem to a two phase segmentation. This thresholding solution is then used as a starting point for a two phase piecewise constant version of a geometric active contour model to reduce noise, smooth contours, improve their position accuracy and close eventual gaps in the carotid wall. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11559573_115 | ICIAR |
Keywords | Field | DocType |
smooth contour,ultrasonic image,phase piecewise constant version,position accuracy,automatic segmentation,thresholding algorithm,phase segmentation,thresholding solution,carotid wall,geometric active contour model,optimal image segmentation model,level set,cross entropy,image segmentation | Active contour model,Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Computer science,Edge detection,Level set,Image processing,Image segmentation,Artificial intelligence,Thresholding | Conference |
Volume | ISSN | ISBN |
3656 | 0302-9743 | 3-540-29069-9 |
Citations | PageRank | References |
2 | 0.40 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Rocha | 1 | 2 | 0.40 |
| Aurélio J. C. Campilho | 2 | 321 | 40.49 |
| Jorge Silva | 3 | 70 | 4.39 |