Aggregation functions based on the Choquet integral applied to image resizing
- DOI
- 10.2991/eusflat-19.2019.64How to use a DOI?
- Keywords
- Choquet integral Aggregation functions Image processing
- Abstract
The rising volume of data and its high complexity has brought the need of developing increasingly efficient knowledge extraction techniques, which demands efficiency both in computational cost and in accuracy. Most of problems that are handled by these techniques has complex information to be identified. So, machine learning methods are frequently used, where a variety of functions can be applied in the different steps that are employed in their architecture. One of them is the use of aggregation functions aiming at resizing images. In this context, we introduce a study of aggregation functions based on the Choquet integral, whose main characteristic in comparison with other aggregation functions is that it considers, through fuzzy measure, the interaction between the elements to be aggregated. Thus, our main goal is to present an evaluation study of the performance of the standard Choquet integral the and copula-based generalization of the Choquet integral in relation to the maximum and mean functions, looking for results that may be better than the aggregation functions commonly applied. The results of such comparisons are promising, when evaluated through image quality metrics.
- 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/).
Cite this article
TY - CONF AU - Jéssica Camila Saldivia Bueno AU - Camila Alves Dias AU - Graçaliz Pereira Dimuro AU - Helida Santos AU - Eduardo Nunes Borges AU - Giancarlo Lucca AU - Humberto Bustince PY - 2019/08 DA - 2019/08 TI - Aggregation functions based on the Choquet integral applied to image resizing BT - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) PB - Atlantis Press SP - 460 EP - 466 SN - 2589-6644 UR - https://doi.org/10.2991/eusflat-19.2019.64 DO - 10.2991/eusflat-19.2019.64 ID - CamilaSaldiviaBueno2019/08 ER -