Research on Similarity Correlation and Compactness of Divided Regions Based on Gray Scale

DOI

10.2991/smont-19.2019.50How to use a DOI?

Keywords

region division; similarity; gray mean; gray variance

Abstract

In the indicators of the conventional gradation division area, it is usually only considering the fluctuation of the regional gradation variance or the rationality of the division is rarely considered, and the effect is determined only by qualitative observation. The purpose of this paper is to give a quantitative representation of the similarity and compactness of the gray areas, which is used to measure the pros and cons of the divided areas and determine whether it needs to be re-divided. The average similarity of the pixels in the region and the variance between the gray values of the pixel points in the region can be used as parameters to jointly measure the similarity and compactness of the divided regions based on the gray scale, and are represented by the parameter S. Experiments show that the larger the s, the smaller the similarity and compactness of the divided regions, and vice versa. It has a certain help for image processing and region division.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Changjie Zhou
AU  - Minghua Cao
AU  - Heng Zhang
AU  - Yi Sun
AU  - Yongqiang Sun
PY  - 2019/04
DA  - 2019/04
TI  - Research on Similarity Correlation and Compactness of Divided Regions Based on Gray Scale
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 226
EP  - 228
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.50
DO  - 10.2991/smont-19.2019.50
ID  - Zhou2019/04
ER  -