Cargando…
Image Segmentation under the Optimization Algorithm of Krill Swarm and Machine Learning
This study aims to improve the efficiency and accuracy of image segmentation, and to compare and study traditional threshold-based image segmentation methods and machine learning model-based image segmentation methods. The krill herb optimization algorithm is combined with the traditional maximum be...
Autores principales: | Geng, Qiang, Yan, Huifeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970905/ https://www.ncbi.nlm.nih.gov/pubmed/35371201 http://dx.doi.org/10.1155/2022/8771650 |
Ejemplares similares
-
Multi-Swarm Algorithm for Extreme Learning Machine Optimization
por: Bacanin, Nebojsa, et al.
Publicado: (2022) -
Particle Swarm Optimization and Salp Swarm Algorithm for the Segmentation of Diabetic Retinal Blood Vessel Images
por: Deng, Liwei, et al.
Publicado: (2022) -
Optimization of a Deep Learning Algorithm for Security Protection of Big Data from Video Images
por: Geng, Qiang, et al.
Publicado: (2022) -
Machine Learning and Swarm Optimization Algorithm in Temperature Compensation of Pressure Sensors
por: Wang, Hexing, et al.
Publicado: (2022) -
The characteristics of krill swarms in relation to aggregating Antarctic blue whales
por: Miller, E. J., et al.
Publicado: (2019)