WANG Wei and PI Ling, “A Variational Approach for Image SegmentationUsing Tensor Voting,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 261-264, 2010,
Citation:
WANG Wei and PI Ling, “A Variational Approach for Image SegmentationUsing Tensor Voting,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 261-264, 2010,
WANG Wei and PI Ling, “A Variational Approach for Image SegmentationUsing Tensor Voting,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 261-264, 2010,
Citation:
WANG Wei and PI Ling, “A Variational Approach for Image SegmentationUsing Tensor Voting,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 261-264, 2010,
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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