Robust image segmentation via Bayesian type criterion
From MaRDI portal
Publication:5154071
DOI10.1080/03610926.2017.1371756OpenAlexW2751703955MaRDI QIDQ5154071
Dawei Lu, Xiaoguang Wang, Lixin Song
Publication date: 1 October 2021
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2017.1371756
Bayesian information criterionimage segmentationrobust estimationmodel selection consistencynoisy image
Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Statistical aspects of information-theoretic topics (62B10)
Cites Work
- Unnamed Item
- Unnamed Item
- Locally adaptive image denoising by a statistical multiresolution criterion
- On image segmentation using information theoretic criteria
- Robust edge detection in noisy images
- Estimating the dimension of a model
- Image segmentation using a local GMM in a variational framework
- A Minimum Description Length-Based Image Segmentation Procedure, and Its Comparison with a Cross-Validation-Based Segmentation Procedure
- A new look at the statistical model identification
This page was built for publication: Robust image segmentation via Bayesian type criterion