Metric tensor for multicomponent edge detection

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Abstract

In this paper, we present the use of differential geometry for the segmentation of multispectral images, which allows us to unify several known methods including projecting onto a particular axis or a particular plan. This is done by choosing a metric tensor on the feature space computing the pullback of the metric tensor and applying standard Di Zenzo algorithm. © 2010 IEEE.

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Rousseau, S., Helbert, D., Carré, P., & Blanc-Talon, J. (2010). Metric tensor for multicomponent edge detection. In Proceedings - International Conference on Image Processing, ICIP (pp. 1953–1956). https://doi.org/10.1109/ICIP.2010.5653763

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