8 papers · 1 filter
From level set evolution to threshold optimization: A grayscale level set framework for image segmentation
Xingkai Li, Jiebao Sun, Fanghui Song +1
The segmentation of multiple degradations has been a challenging problem in the field of image segmentation. Existing level set approaches commonly adopt a length regularization te…
A Smooth Phase-Separation Model for Weak-Boundary Segmentation of Homogeneous Structures
Zihan Li, Jiebao Sun, Fanghui Song +1
Segmentation of adjacent structures with similar intensity distributions remains a challenging problem in image analysis, particularly when object boundaries are weak or ambiguous.…
SILSM: A Sustainable Interactive Level Set Method for Progressive Refinement
Jiachen Song, Dazhi Zhang, Fanghui Song +2
Interactive segmentation aims to precisely isolate target objects using sparse user guidance. However, traditional methods often suffer from heavy interaction burdens and parameter…
An ICTM-RMSAV Framework for Bias-Field Aware Image Segmentation under Poisson and Multiplicative Noise
Xinyu Wang, Wenjun Yao, Fanghui Song +1
Image segmentation is a core task in image processing, yet many methods degrade when images are heavily corrupted by noise and exhibit intensity inhomogeneity. Within the iterative…
TA-LSDiff:Topology-Aware Diffusion Guided by a Level Set Energy for Pancreas Segmentation
Yue Gou, Fanghui Song, Yuming Xing +3
Pancreas segmentation in medical image processing is a persistent challenge due to its small size, low contrast against adjacent tissues, and significant topological variations. Tr…
Progressive Alignment Degradation Learning for Pansharpening
Enzhe Zhao, Zhichang Guo, Yao Li +2
Deep learning-based pansharpening has been shown to effectively generate high-resolution multispectral (HRMS) images. To create supervised ground-truth HRMS images, synthetic data…
Mixed geometry information regularization for image multiplicative denoising
Shengkun Yang, Zhichang Guo, Jia Li +2
This paper focuses on solving the multiplicative gamma denoising problem via a variation model. Variation-based regularization models have been extensively employed in a variety of…
Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
Fanghui Song, Jiebao Sun, Shengzhu Shi +2
Variational level set method has become a powerful tool in image segmentation due to its ability to handle complex topological changes and maintain continuity and smoothness in the…