Masi Entropy for Satellite Color Image Segmentation Using Tournament-Based Lévy Multiverse Optimization Algorithm
A novel multilevel threshold segmentation method for color satellite images based on Masi entropy is proposed in this paper. Lévy multiverse optimization algorithm (LMVO) has a strong advantage over the traditional multiverse optimization algorithm (MVO) in finding the optimal solution for...
Main Authors: | Heming Jia, Xiaoxu Peng, Wenlong Song, Diego Oliva, Chunbo Lang, Yao Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/8/942 |
Similar Items
-
Multiverse Optimization Algorithm Based on Lévy Flight Improvement for Multithreshold Color Image Segmentation
by: Heming Jia, et al.
Published: (2019-01-01) -
Hybrid Multiverse Optimization Algorithm With Gravitational Search Algorithm for Multithreshold Color Image Segmentation
by: Heming Jia, et al.
Published: (2019-01-01) -
Post-Editorial of “The Multiverse” Special Volume
by: Ana Alonso-Serrano, et al.
Published: (2020-01-01) -
Multiverse—Too Much or Not Enough?
by: Michael Heller
Published: (2019-05-01) -
Anthropic Selection of Physical Constants, Quantum Entanglement, and the Multiverse Falsifiability
by: Mariusz P. Da̧browski
Published: (2019-07-01)