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Generalized gradient vector flow external forces for active contours
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DOI：10.1016/S0165-1684(98)00140-6.png)
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摘要
En 中文
Active contours, or snakes, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. A new type of external force for active contours, called gi adient vector flow (GVF) was introduced recently to address problems associated with initialization and poor convergence to boundary concavities. GVF is computed as a diffusion of the gradient vectors of a gray-level or binary edge map derived from the image. In this paper, we generalize the GVF formulation to include two spatially varying weighting functions. This improves active contour convergence to long, thin boundary indentations, while maintaining other desirable properties of GVF, such as an extended capture range. The original GVF is a special case of this new generalized GVF (GGVF) model. An error analysis for active contour results on simulated test images is also presented. (C) 1998 Elsevier Science B.V. All rights reserved.
Keyword:
DYNAMIC CONTOUR
MODEL
IMAGES
SEGMENTATION
BALLOONS
TRACKING
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3.6
论文数:
10.0K
被引数:
1.7W
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