Abstract
We apply conformal geometric algebra (CGA) to classical algorithms for colour image segmentation. Particularly, we modify standard Prewitt quaternionic filter for edge detection and region growing segmentation procedure and use them simultaneously, which is only allowed by common CGA language, more precisely by the notion of flat point in normalised and unnormalised form.
The first two authors were supported by a grant of the Czech Science Foundation (GAČR) number 17–21360S, “Advances in Snake-like Robot Control” the last author was supported by Grant No. FSI–S–17–4464.
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Acknowledgment
We would like to thank to Aleš Návrat for helpful discussions. We thank the anonymous reviewers whose comments have greatly improved this manuscript.
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Hrdina, J., Matoušek, R., Tichý, R. (2019). Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra. In: Gavrilova, M., Chang, J., Thalmann, N., Hitzer, E., Ishikawa, H. (eds) Advances in Computer Graphics. CGI 2019. Lecture Notes in Computer Science(), vol 11542. Springer, Cham. https://doi.org/10.1007/978-3-030-22514-8_56
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DOI: https://doi.org/10.1007/978-3-030-22514-8_56
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