Name
Title | ||
|---|---|---|
The Influence of Object Shape on the Convergence of Active Contour Models for Image Segmentation. |
Abstract | ||
|---|---|---|
In this article, we investigate the relationship between the range of optimal parameters of active contour models and the shape of the target object. We focus on the weights of the internal and external energy terms of the snakes functional. Our contributions are 3-fold. First, we propose a normalization step that brings the search space for optimal parameters into a bounded range. Secondly, we pe... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1093/comjnl/bxv086 | The Computer Journal |
Keywords | Field | DocType |
snakes,stability diagrams,energy functionals,parameter weights | Normalization (statistics),Computer science,Theoretical computer science,Image segmentation,Artificial intelligence,Geometric shape,Active contour model,Active shape model,Computer vision,Segmentation,Algorithm,Bounded function,Shape analysis (digital geometry) | Journal |
Volume | Issue | ISSN |
59 | 5 | 0010-4620 |
Citations | PageRank | References |
2 | 0.39 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Josh Chopin | 1 | 2 | 0.73 |
| Hamid Laga | 2 | 376 | 27.28 |
| Stanley J. Miklavcic | 3 | 4 | 2.12 |