Abstract
In image segmentation, intensity inhomogeneity is one of the
main problems in case of region-based level set methods. Another problem is to segmenting images having average intensity background and
multi-intensity objects in foreground. Therefore, in this paper we present
a new model for segmentation of such kind of images by utilizing generalized averages in our proposed local sign pressure force function which is
further incorporated into the Geodesic active contour model to obtain the
evolution equation. Moreover, for the segmentation of average intensity
background images we used a difference image in our local sign pressure
force function and also calculated the bounds for the parameters α and β.
Experimental section validate that the results of our proposed functional
is better than existing traditional models.
Shafaq-zu-Fishan, Lutful Mabood, Haider Ali, Noor Badshah. (2019) Active Contour Model Based on Local Signed Pressure Force Functions, Punjab University Journal of Mathematics, Volume 51, Issue 4.
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