A robust and consistent stack generalized ensemble-learning framework for image segmentation

A robust and consistent stack generalized ensemble-learning framework for image segmentation

Abstract In the present study, we aim to propose an effective and robust ensemble-learning approach with stacked generalization for image segmentation. Initially, the input images are processed for feature extraction and edge detection using the Gabor filter and the Canny algorithms, respectively; o...

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Bibliographic Details
Main Authors: Zahra Faska, Lahbib Khrissi, Khalid Haddouch, Nabil El Akkad
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Journal of Engineering and Applied Science
Subjects:
Image segmentation
Edge detection
Ensemble learning
XGBoost
LightGBM
SVM
Online Access:https://doi.org/10.1186/s44147-023-00226-4

Internet

https://doi.org/10.1186/s44147-023-00226-4

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