Image thresholding based on the EM algorithm and the generalized Gaussian distribution

DOI10.1016/J.PATCOG.2006.05.006zbMath1118.68187OpenAlexW2071481167MaRDI QIDQ854246

Lorenzo Bruzzone, Yakoub Bazi, Farid Melgani

Publication date: 7 December 2006

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.05.006

zbMATH Keywords

genetic algorithmsgeneralized Gaussian distributionimage thresholdingexpectation--maximization algorithm

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Computing methodologies for image processing (68U10)

Related Items (8)

Error-probability noise benefits in threshold neural signal detection ⋮ A novel image thresholding method based on Parzen window estimate ⋮ Recent advances of stretched Gaussian distribution underlying Hausdorff fractal distance and its applications in fitting stretched Gaussian noise ⋮ Possibility measure based fuzzy support function machine for set-based fuzzy classifications ⋮ Type-2 fuzzy Gaussian mixture models ⋮ Bayesian learning of finite generalized Gaussian mixture models on images ⋮ Respiratory parameter estimation in non-invasive ventilation based on generalized Gaussian noise models ⋮ The MOGN distribution applied to medical imagery processing

Cites Work

• Evaluation of global image thresholding for change detection
• Finite mixture models
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Image thresholding based on the EM algorithm and the generalized Gaussian distribution