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Hybrid Active Contour Model for Segmentation of Synthetic and Real Images | IEEE Conference Publication | IEEE Xplore

Hybrid Active Contour Model for Segmentation of Synthetic and Real Images


Abstract:

Level set models are extensively used for image segmentation because of their capability to handle topological changes. In this paper, the proposed model uses combined lo...Show More

Abstract:

Level set models are extensively used for image segmentation because of their capability to handle topological changes. In this paper, the proposed model uses combined local image information and global image information to evolve the con-tour around the object boundary, making it robust, irrespective of the inhomogeneity. The proposed model is capable to deal with bias conditions, such as intensity inhomogeneity and light effects. We test this model on synthetic, and real images, confirming its superiority over previous models.
Date of Conference: 16-19 November 2021
Date Added to IEEE Xplore: 28 December 2021
ISBN Information:
Conference Location: Hualien City, Taiwan

References

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