Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
Computational color constancy (CCC) is a fundamental prerequisite for many computer vision tasks. The key of CCC is to estimate illuminant color so that the image of a scene under varying illumination can be normalized to an image under the canonical illumination. As a type of solution, combination...
Guardado en:
Autores principales: | Yunhui Luo, Xingguang Wang, Qing Wang, Yehong Chen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9880f6f9579d44e2b1d5190e441542fd |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Developing a Neuro-Fuzzy Inference System to Assess the Appropriateness of Retail Types with Product Features
por: Hamidreza Nezhadali Lafmejani, et al.
Publicado: (2021) -
GPS Data Correction Based on Fuzzy Logic for Tracking Land Vehicles
por: Pedro J. Correa-Caicedo, et al.
Publicado: (2021) -
Applying Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network to the Prediction of Quality changes of Hawthorn Fruit (Crataegus pinnatifida) during Various Storage Conditions
por: M Zandi, et al.
Publicado: (2021) -
ON-LINE VOLTAGE STABILITY EVALUATION USING NEURO-FUZZY INFERENCE SYSTEM AND MOTH-FLAME OPTIMIZATION ALGORITHM
por: Arif Bourzami, et al.
Publicado: (2019) -
Simulation of neuro-fuzzy model for optimization of combine header setting
por: S Zareei, et al.
Publicado: (2016)