.png){kind=icon}
.png){kind=icon}
Return
GACV: Geodesic-aided C-V method
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patcog.2006.01.017.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A novel algorithm for image segmentation is proposed. The proposed method incorporates geodesic curves and C-V method to raise active contours' performance on image segmentation. Moreover, we extend our method to color images. By practical experiments, it is verified that our model obtains better results than original methods, especially with respect to images within holes, complex background, weak edges, and noise. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keywords:
image processing
image segmentation
deformable model
active contour
C-V method
geodesic active contours
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
Organization
No organization information available