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.

Shengxiang Xia and Wen Wang, “NEB in Analysis of Natural Image 8 × 8 and 9 × 9 High-contrast Patches” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070572

@article{Xia2016,
title = {NEB in Analysis of Natural Image 8 × 8 and 9 × 9 High-contrast Patches},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070572},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070572},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {5},
author = {Shengxiang Xia and Wen Wang}
}