arXiv · 1608.08831
Spatio-Colour Asplünd 's Metric and Logarithmic Image Processing for Colour Images (LIPC)
Abstract
Asplünd 's metric, which is useful for pattern matching, consists in a double-sided probing, i.e. the over-graph and the sub-graph of a function are probed jointly. This paper extends the Asplünd 's metric we previously defined for colour and multivariate images using a marginal approach (i.e. component by component) to the first spatio-colour Asplünd 's metric based on the vectorial colour LIP model (LIPC). LIPC is a non-linear model with operations between colour images which are consistent with the human visual system. The defined colour metric is insensitive to lighting variations and a variant which is robust to noise is used for colour pattern matching.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Guillaume Noyel, Michel Jourlin. 2017-02-27. Spatio-Colour Asplünd 's Metric and Logarithmic Image Processing for Colour Images (LIPC). https://doi.org/10.1007/978-3-319-52277-7_5
Cite the original work for its findings. Save a collection to share your selection of sources.