Abstract
Enhancement is an important step in post-processing digital images for personal use, in medical imaging, and for object recognition. Most existing manual techniques rely on region selection, similarity, and/or thresholding for editing, never really considering the topological structure of the image. In this paper, we leverage the contour tree to extract a hierarchical representation of the topology of an image. We propose 4 topology-aware transfer functions for editing features of the image using local topological properties, instead of global image properties. Finally, we evaluate our approach with grayscale and color images.
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Acknowledgments
This project was supported in part by the National Science Foundation (IIS-1513616 and IIS-1845204).
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Tu, J., Rosen, P. (2019). Topologically-Guided Color Image Enhancement. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2019. Lecture Notes in Computer Science(), vol 11845. Springer, Cham. https://doi.org/10.1007/978-3-030-33723-0_22
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DOI: https://doi.org/10.1007/978-3-030-33723-0_22
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