On a Generalization of Tupper's Formula for $m$ Colours and $n$ Dimensions
Sai Teja Somu, Vidyanshu Mishra

TL;DR
This paper generalizes Tupper's formula to represent any n-dimensional, m-colour object within a hypervoxel array using m formulae with n free variables, extending the original 2D monochrome pixel representation.
Contribution
It introduces m formulae with n free variables that can represent any n-dimensional, m-colour object within a hypervoxel array, generalizing Tupper's original 2D monochrome formula.
Findings
Provides m formulae for n-dimensional objects
Ensures representation of any m-colour hypervoxel object
Extends Tupper's formula to higher dimensions and colours
Abstract
Tupper's formula has an interesting property that for any monochrome image that can be represented by pixels in a two dimensional array of dimensions , there exists a natural number such that the graph of the equation in the range and , is that image. In this paper, we give a generalization for colours and dimensions. We give formulae consisting of free variables, with the property that, for any dimensional object of colours , that can be represented by hypervoxels(multidimensional analogue of pixel) in a dimensional array of dimensions , there exists a natural number such that, when the first formula is graphed using colour…
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Taxonomy
TopicsSystemic Lupus Erythematosus Research · Medical Image Segmentation Techniques · Image Retrieval and Classification Techniques
