| Paper: | MA-L2.6 |
| Session: | Image And Video Segmentation I |
| Time: | Monday, September 17, 11:50 - 12:10 |
| Presentation: |
Lecture
|
| Title: |
SHAPE PRIOR INTEGRATED IN AN AUTOMATED 3D REGION GROWING METHOD |
| Authors: |
Jean-Loïc Rose; CREATIS | | |
| | Chantal Muller; CREATIS | | |
| | Mohamed Almajdub; ANIMAGE | | |
| | Emmanuel Chereul; ANIMAGE | | |
| | Christophe Odet; CREATIS | | |
| Abstract: |
We propose a new automated Region Growing method Integrating Shape Prior (RGISP). The aim of this work is to improve region growing segmentation by taking into account a reference model. Our algorithm is assessed on a synthesized image and compared with two other methods in order to point up the contribution of shape prior. It was also applied for segmenting in-vivo µ-CT images of mouse kidneys in the framework of small animal imaging. RGISP gives promising results and appears to be well adapted to answer to small animal imaging constraints. |
