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Maximizing a Sum Related to Image Segmentation Evaluation

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Journal of Mathematical Modelling and Algorithms

Abstract

Consider the set S of points in the plane consisting of the ordered pairs (i, j ), where \(1 \leqslant i \leqslant m\) and \(1 \leqslant j \leqslant n\). A problem related to the study of segmentation evaluation of visual images concerns finding a permutation σ of the points of S for which the sum

$$ \sum\limits_{s \in S}d(s, \sigma(s)) $$

is maximal among all possible permutations of S, where d denotes the Euclidean metric. In this note, we show that this maximum is achieved by exactly those permutations of S for which the line joining the points s and σ(s) passes through the point \((\frac{m+1}{2},\frac{n+1}{2})\) for all s ∈ S. In fact, the result applies to any point-symmetric set in any dimension for all L p metrics, 1 < p < ∞. In addition, we provide asymptotic estimates as m and n grow large for the actual maximum value achieved by the above sum.

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Correspondence to Mark Shattuck.

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Hatzl, J., Mansour, T. & Shattuck, M. Maximizing a Sum Related to Image Segmentation Evaluation. J Math Model Algor 10, 193–203 (2011). https://doi.org/10.1007/s10852-010-9149-6

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  • DOI: https://doi.org/10.1007/s10852-010-9149-6

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