A hybrid fuzzy filtering - fuzzy thresholding technique for region of interest detection in noisy images
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A hybrid fuzzy filtering - fuzzy thresholding technique for region of interest detection in noisy images
Authors
Keywords
-
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-12-18
DOI
10.1007/s10489-019-01551-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Median Filtering for Removal of Maximum Impulse Noise from Images with a Decision Based Model
- (2019) G. Kalaimani et al. Journal of Computational and Theoretical Nanoscience
- A robust active contour model driven by fuzzy c-means energy for fast image segmentation
- (2019) Ri Jin et al. DIGITAL SIGNAL PROCESSING
- The efficiency of the NSHPZ-HMM: theoretical and practical study
- (2018) Hanene Boukerma et al. APPLIED INTELLIGENCE
- Noise Robust Multi-objective Evolutionary Clustering Image Segmentation Motivated by Intuitionistic Fuzzy Information
- (2018) Feng Zhao et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Chaotic firefly algorithm-based fuzzy C-means algorithm for segmentation of brain tissues in magnetic resonance images
- (2018) Partha Ghosh et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Active contours driven by non-local Gaussian distribution fitting energy for image segmentation
- (2018) Yupeng Li et al. APPLIED INTELLIGENCE
- Integrating guided filter into fuzzy clustering for noisy image segmentation
- (2018) Li Guo et al. DIGITAL SIGNAL PROCESSING
- Statistical Nearest Neighbors for Image Denoising
- (2018) Iuri Frosio et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A fractional order derivative based active contour model for inhomogeneous image segmentation
- (2018) Bo Chen et al. APPLIED MATHEMATICAL MODELLING
- Active contours driven by global and local weighted signed pressure force for image segmentation
- (2018) Bin Han et al. PATTERN RECOGNITION
- Complex impulse noise removal from color images based on super pixel segmentation
- (2017) Lianghai Jin JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Image Super-Resolution Using Deep Convolutional Networks
- (2016) Chao Dong et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A multi-object image segmentation C–V model based on region division and gradient guide
- (2016) Xianghai Wang et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- A robust 2D Otsu’s thresholding method in image segmentation
- (2016) Chunshi Sha et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- The ANN based detector to remove random-valued impulse noise in images
- (2016) Ilke Turkmen JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Automated coronal hole segmentation from Solar EUV Images using the watershed transform
- (2015) Marcin Ciecholewski JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Image denoising based on gaussian/bilateral filter and its method noise thresholding
- (2012) B. K. Shreyamsha Kumar Signal Image and Video Processing
- Image Super-Resolution Via Sparse Representation
- (2010) Jianchao Yang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
- (2010) Kwang In Kim et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Fuzzy Energy-Based Active Contours
- (2009) S. Krinidis et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started