Fuzzy logic and local features based medical image segmentation

Abstract

A fuzzy logic based active contour model for medical image segmentation is proposed. Image local features are incorporated in active contour model. Fuzzy logic is used to assign weights to pixels. Higher weights are assigned to pixels having less entropy and local variance whereas Lower weights are assigned to pixels having high entropy and local variance. Simulation results show the improvement in segmentation results in terms of efficiency and accuracy.

DOI: 10.1109/ICIP.2013.6738237

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Showing 1-10 of 14 references

Computers in Biology and Medecine

  • 2011

Geodesic active regions and level set methods: Contributions and applications in artificial vision

  • N K Paragios
  • 2000
1 Excerpt