.png){kind=icon}
Return
Enhanced Snake algorithm by embedded domain transformation
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patcog.2005.10.016.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
There have been many attempts to improve the original Snake algorithm by Kass et al. to enhance its ability to locate object boundaries with sharp corners or concave parts. But most of these variants of the Snake model require introducing additional external forces or modifying internal energy terms, all of which necessitate cumbersome fine-tuning by users for optimal performance. In this paper, we present a mathematical formulation for a new algorithm that embeds a domain transformation mapping within the Snake algorithm. The domain transformation step serves to render the object contour more convex and hence is more amenable to be better represented by the Snake contour. Analysis of the new algorithm is carried out which facilitated further enhancements to our technique, rendering a final algorithm that is computationally efficient and is easy and flexible to use. Our approach has been tested with very encouraging experimental results. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keywords:
snakes
active contours
domain transformation
conformal mapping
robust contour detection
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
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSave
ShareSave
ShareSaveShareSave
View more