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.
CITATION STYLE
Hrdina, J., Matoušek, R., & Tichý, R. (2019). Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11542 LNCS, pp. 564–570). Springer Verlag. https://doi.org/10.1007/978-3-030-22514-8_56
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