Journal article
The influence of object shape on the convergence of active contour models for image segmentation
The Computer Journal, Vol.59(5), pp.603-615
2015
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 perform a systematic study of the behaviour of active contour models for all possible settings of their parameters and on a large set of synthetic geometric shapes. We introduce the concept of stability diagrams as a novel approach for assessing the stability of active contour models given a range of parameter values. Finally, we show that over a series of evolving shapes the region of the parameter domain that corresponds to suitable coefficients for segmentation, hereinafter referred to as feasible solution region, follows a predictable trend. Using shape diagrams as a metric for characterizing shapes quantitatively, we are able to correlate the shape of the objects to segment with the location and extent of the feasible solution region in the parameter domain.
Details
- Title
- The influence of object shape on the convergence of active contour models for image segmentation
- Authors/Creators
- J. Chopin (Author/Creator)H. Laga (Author/Creator)S.J. Miklavcic (Author/Creator)
- Publication Details
- The Computer Journal, Vol.59(5), pp.603-615
- Publisher
- Oxford University Press
- Identifiers
- 991005542159107891
- Copyright
- © 2015 The British Computer Society
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.17 Computer Vision & Graphics
- 4.17.282 Image Segmentation
- Web Of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Information Systems
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- ESI research areas
- Computer Science