LBP-guided active contours

  title={LBP-guided active contours},
  author={Michalis A. Savelonas and Dimitrios K. Iakovidis and Dimitrios E. Maroulis},
  journal={Pattern Recognition Letters},
This paper investigates novel LBP-guided active contour approaches to texture segmentation. The local binary pattern (LBP) operator is well suited for texture representation, combining efficiency and effectiveness for a variety of applications. In this light, two LBP-guided active contours have been formulated, namely the scalar-LBP active contour (s-LAC) and the vector-LBP active contour (v-LAC). These active contours combine the advantages of both the LBP texture representation and the vector… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 53 references

Filtering for Texture Classification: A Comparative Study

IEEE Trans. Pattern Anal. Mach. Intell. • 1999
View 4 Excerpts
Highly Influenced

Detection using spatial histogram

W. Gao, X. Chen, D. Zhao
contours. Sig. Proc • 2006

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