A Variational Approach for Image SegmentationUsing Tensor Voting
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Graphical Abstract
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Abstract
We presented an improved geodesic active
contour model for image segmentation. This method com-
bines the geodesic active contour model and the tensor
voting framework. We added in°uence of tensor voting in
the edge-detector function. The proposed model is more
sensitive to edges. It can detect weak boundaries of de-
sired objects in some images with low contrast. Using this
method, we don't have to spend time to ¯nd some suit-
able parameter which is necessary in the geodesic active
contour model. Numerical results show the e®ectiveness.
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