Abstract
In this paper, we present a fast multi-stage image segmentation method that incorporates texture analysis into a level set-based active contour framework. This approach allows integrating multiple feature extraction methods and is not tied to any specific texture descriptors. Prior knowledge of the image patterns is also not required. The method starts with an initial feature extraction and selection, then performs a fast level set-based evolution process and ends with a final refinement stage that integrates a region-based model. The presented implementation employs a set of features based on Grey Level Co-occurrence Matrices, Gabor filters and structure tensors. The high performance of feature extraction and contour evolution stages is achieved with GPU acceleration. The method is validated on synthetic and natural images and confronted with results of the most similar among the accessible algorithms.
Highlights
IntroductionDeformable models [34] are a successful class of segmentation algorithms based on the idea of a deforming shape that adapts to the desired image region
Image segmentation is one of the most fundamental problems in computer vision
Deformable models [34] are a successful class of segmentation algorithms based on the idea of a deforming shape that adapts to the desired image region
Summary
Deformable models [34] are a successful class of segmentation algorithms based on the idea of a deforming shape that adapts to the desired image region. The fundamental form of the deformable model-based segmentation method was proposed by Kass et al [25] as an active contour model (ACM), known as a “snake”. The snake model is a parametric curve with an evolution process controlled by a set of external and internal energies. External energies attract the shape to the desired image area and move it towards the boundaries of the segmented region, while the internal forces control the contour smoothness. Linear Discriminant Analysis was used to reduce a feature space, which was applied to create a likelihood map that guided the contour deformation
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