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ACIVS
2006
Springer

An Active Contour Model Guided by LBP Distributions

13 years 9 months ago
An Active Contour Model Guided by LBP Distributions
The use of active contours for texture segmentation seems rather attractive in the recent research, indicating that such methodologies may provide more accurate results. In this paper, a novel model for texture segmentation is presented, combining advantages of the active contour approach with texture information acquired by the Local Binary Pattern (LBP) distribution. The proposed LBP scheme has been formulated in order to capture regional information extracted from distributions of LBP values, characterizing a neighborhood around each pixel, instead of using a single LBP value to characterize each pixel. The log-likelihood statistic is employed as a similarity measure between the LBP distributions, resulting to more detailed and accurate segmentation of texture images.
Michalis A. Savelonas, Dimitrios K. Iakovidis, Dim
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where ACIVS
Authors Michalis A. Savelonas, Dimitrios K. Iakovidis, Dimitrios E. Maroulis, Stavros A. Karkanis
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