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Active contour external force using vector field convolution for image segmentation.

Bing Li1, Scott T Acton

  • 1C. L. Brown Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA. bingli@virginia.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 11, 2007
PubMed
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This study introduces vector field convolution (VFC), a novel external force for active contours, enhancing image processing by improving capture range and noise robustness. VFC offers a flexible and efficient alternative to existing methods like gradient vector flow (GVF).

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Geometry

Background:

  • Active contours are crucial for image segmentation but face challenges like limited capture range and noise sensitivity.
  • Existing methods such as gradient vector flow (GVF) have limitations in handling complex shapes and noise.

Purpose of the Study:

  • To introduce a new external force for active contours, termed vector field convolution (VFC), to overcome the limitations of existing methods.
  • To demonstrate the advantages of VFC, including enhanced noise robustness, wider capture range, and improved convergence to concavities.

Main Methods:

  • VFC is computed by convolving an image's edge map with a user-defined vector field kernel.
  • Two magnitude function structures for the vector field kernel are proposed, with an analytical method for parameter estimation.

Related Experiment Videos

  • Mixed VFC is introduced to mitigate parameter-related leakage issues.

    • Main Results:

    • VFC demonstrates superior noise robustness and reduced computational cost compared to GVF.
    • The proposed method shows greater flexibility in tailoring the force field for diverse image segmentation tasks.
    • Standard and GVF external forces are shown to be special cases of VFC.

    Conclusions:

    • Vector field convolution (VFC) presents a significant advancement in active contour models for image processing.
    • VFC offers a more robust, efficient, and flexible approach to image segmentation, addressing key limitations of prior techniques.