NEB in Analysis of Natural Image 8 × 8 and 9 × 9 High-contrast Patches

Abstract

In this paper we use the nudged elastic band tech-nique from computational chemistry to investigate sampled high-dimensional data from a natural image database. We randomly sample 8 × 8 and 9 × 9 high-contrast patches of natural images and create a density estimator believed as a Morse function. By the Morse function we build one-dimensional cell complexes from the sampled data. Using one-dimensional cell complexes, we identify topological properties of 8 × 8 and 9 × 9 high-contrast natural image patches, we show that there exist two kinds of subsets of high-contrast 8 × 8 and 9 × 9 patches modeled as a circle, by the new method we confirm some results obtained through the method of computational topology.

Authors and Affiliations

Shengxiang Xia, Wen Wang

Keywords

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  • EP ID EP164687
  • DOI 10.14569/IJACSA.2016.070572
  • Views 94
  • Downloads 0

How To Cite

Shengxiang Xia, Wen Wang (2016). NEB in Analysis of Natural Image 8 × 8 and 9 × 9 High-contrast Patches. International Journal of Advanced Computer Science & Applications, 7(5), 548-552. https://europub.co.uk/articles/-A-164687