Maximum a posterior based level set approach for image segmentation with intensity inhomogeneity
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Maximum a posterior based level set approach for image segmentation with intensity inhomogeneity
Authors
Keywords
Maximum a posterior, Level set method, Intensity inhomogeneity, Image segmentation
Journal
SIGNAL PROCESSING
Volume 181, Issue -, Pages 107896
Publisher
Elsevier BV
Online
2020-11-20
DOI
10.1016/j.sigpro.2020.107896
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- U2-Net: Going deeper with nested U-structure for salient object detection
- (2020) Xuebin Qin et al. PATTERN RECOGNITION
- A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity
- (2019) Hai Min et al. PATTERN RECOGNITION
- Developing a Machine Vision Inspection System for Electronics Failure Analysis
- (2019) Chien-Yi Huang et al. IEEE Transactions on Components Packaging and Manufacturing Technology
- An Effective Method of Weld Defect Detection and Classification Based on Machine Vision
- (2019) Jun Sun et al. IEEE Transactions on Industrial Informatics
- Image Segmentation for Intensity Inhomogeneity in Presence of High Noise
- (2018) Haider Ali et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- LATE: A Level-Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images
- (2018) Hai Min et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Suspicious-region segmentation from breast thermogram using DLPE-based level set method
- (2018) Sourav Pramanik et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A binary level set variational model with L1 data term for image segmentation
- (2018) Yang Liu et al. SIGNAL PROCESSING
- Robust retinal blood vessel segmentation using hybrid active contour model
- (2018) Prakash Kumar Karn et al. IET Image Processing
- Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation
- (2017) Alaa Khadidos et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A Machine Vision System for Stacked Substrates Counting With a Robust Stripe Detection Algorithm
- (2017) Hong Zhao et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Active contour driven by multi-scale local binary fitting and Kullback-Leibler divergence for image segmentation
- (2016) Lin Liu et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A Level Set Approach to Image Segmentation With Intensity Inhomogeneity
- (2016) Kaihua Zhang et al. IEEE Transactions on Cybernetics
- The $L_{0}$ Regularized Mumford–Shah Model for Bias Correction and Segmentation of Medical Images
- (2015) Yuping Duan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- An Efficient MRF Embedded Level Set Method for Image Segmentation
- (2015) Xi Yang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Active contours driven by local likelihood image fitting energy for image segmentation
- (2015) Zexuan Ji et al. INFORMATION SCIENCES
- An Intensity-Texture model based level set method for image segmentation
- (2015) Hai Min et al. PATTERN RECOGNITION
- Inhomogeneity-embedded active contour for natural image segmentation
- (2015) Lingzheng Dai et al. PATTERN RECOGNITION
- A novel level set method for image segmentation by incorporating local statistical analysis and global similarity measurement
- (2015) Xiao-Feng Wang et al. PATTERN RECOGNITION
- A convex variational level set model for image segmentation
- (2015) Yongfei Wu et al. SIGNAL PROCESSING
- Robust Model for Segmenting Images With/Without Intensity Inhomogeneities
- (2013) Changyang Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- An Efficient Algorithm for Multiphase Image Segmentation With Intensity Bias Correction
- (2013) Haili Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A Nonlinear Adaptive Level Set for Image Segmentation
- (2013) Bin Wang et al. IEEE Transactions on Cybernetics
- Reinitialization-Free Level Set Evolution via Reaction Diffusion
- (2012) Kaihua Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI
- (2011) Chunming Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Review of brain MRI image segmentation methods
- (2010) M. A. Balafar et al. ARTIFICIAL INTELLIGENCE REVIEW
- Distance Regularized Level Set Evolution and Its Application to Image Segmentation
- (2010) Chunming Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started