Reference Hub

This research has been cited in:

Article
FPGA supported rough set reduct calculation for big datasetsJournal of Intelligent Information Systems10.1007/s10844-022-00725-5
Article
BCEFCM_S: Bias correction embedded fuzzy c-means with spatial constraint to segment multiple spectral images with intensity inhomogeneities and noisesSignal Processing10.1016/j.sigpro.2019.107347
Article
A Rainfall Intensity Data Rescue Initiative for Central Chile Utilizing a Pluviograph Strip Charts Reader (PSCR)Water10.3390/w12071887
Article
Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modalityBiocybernetics and Biomedical Engineering10.1016/j.bbe.2019.07.005
Article
Grey-Wolf-Based Wang’s Demons for Retinal Image RegistrationEntropy10.3390/e22060659
Conference
A Deeplab-Based Segmentation Network for Screw Images2021 The 5th International Conference on Machine Learning and Soft Computing10.1145/3453800.3453816
Article
Rough set theory with Jaya optimization for acute lymphoblastic leukemia classificationNeural Computing and Applications10.1007/s00521-018-3359-7
Chapter
Electroanatomical Mapping Systems. An Epochal Change in Cardiac ElectrophysiologyMedical Imaging in Clinical Applications10.1007/978-3-319-33793-7_11
Chapter
Proposed Method for Segmenting Skin Lesions ImagesEmerging Trends in Electrical, Communications, and Information Technologies10.1007/978-981-13-8942-9_2
Article
A survey on rough set theory and its applicationsCAAI Transactions on Intelligence Technology10.1016/j.trit.2016.11.001
Article
Light microscopy image de-noising using optimized LPA-ICI filterNeural Computing and Applications10.1007/s00521-016-2678-9
Chapter
Histogram Thresholding in Image Segmentation: A Joint Level Set Method and Lattice Boltzmann Method Based ApproachInformation Technology and Intelligent Transportation Systems10.1007/978-3-319-38771-0_52
Chapter
Large Scale Medical Data Mining for Accurate Diagnosis: A BlueprintHandbook of Large-Scale Distributed Computing in Smart Healthcare10.1007/978-3-319-58280-1_7
Article
Hybrid rough-bijective soft set classification systemNeural Computing and Applications10.1007/s00521-016-2711-z
Article
Accurate multi-class image segmentation using weak continuity constraints and neutrosophic setApplied Soft Computing10.1016/j.asoc.2021.107759
Article
Redefining preliminaries of dominance-based rough set approachSoft Computing10.1007/s00500-021-06619-y
Article
A parallel rule-based approach to compute rough approximations of dominance based rough set theoryEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105285
Conference
The Method of Edge Detection Based on Interval Type-2 FCM2019 Chinese Control Conference (CCC)10.23919/ChiCC.2019.8865972
Article
Color-Based Image Retrieval Using Proximity Space TheoryAlgorithms10.3390/a11080115
Conference
RGB image multi-thresholding based on Kapur's entropy — A study with heuristic algorithms2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT)10.1109/ICECCT.2017.8117823
Article
An optimized method to calculate approximations in Dominance based Rough Set ApproachApplied Soft Computing10.1016/j.asoc.2020.106731
Chapter
Specialized Software System for Heart Rate Variability Analysis: An Implementation of Nonlinear Graphical MethodsSoft Computing Applications10.1007/978-3-319-62521-8_31
Article
Improving detection of Melanoma and Naevus with deep neural networksMultimedia Tools and Applications10.1007/s11042-019-07814-8
Chapter
Rough Sets in COVID-19 to Predict Symptomatic CasesCOVID-19: Prediction, Decision-Making, and its Impacts10.1007/978-981-15-9682-7_7
Article
A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph constructionEarth Science Informatics10.1007/s12145-023-01207-0
Article
The use of contextual spatial knowledge for low-quality image segmentationMultimedia Tools and Applications10.1007/s11042-018-6540-1
Chapter
Optimization of Non-rigid Demons Registration Using Flower Pollination AlgorithmApplications of Flower Pollination Algorithm and its Variants10.1007/978-981-33-6104-1_2
Conference
Computationally Efficient Approximation Algorithm of Dominance Based Rough Set Approach2020 22nd International Conference on Advanced Communication Technology (ICACT)10.23919/ICACT48636.2020.9061399
Chapter
Rough Set and Multi-thresholds based Seeded Region Growing Algorithm for Image SegmentationArtificial Intelligence and Evolutionary Computations in Engineering Systems10.1007/978-981-10-7868-2_36
Chapter
A Decision Support System in Brain Tumor Detection and Localization in Nominated Areas in MR ImagesInternet of Things and Big Data Technologies for Next Generation Healthcare10.1007/978-3-319-49736-5_14
Article
Uneven illumination correction of digital images: A survey of the state-of-the-artOptik10.1016/j.ijleo.2019.02.118
Article
Multi-level image thresholding using Otsu and chaotic bat algorithmNeural Computing and Applications10.1007/s00521-016-2645-5
Article
Covering-based rough set classification systemNeural Computing and Applications10.1007/s00521-016-2412-7
Article
Research on Traditional Image Segmentation Method Based on Oil Drilling Pipe DefectsJournal of Physics: Conference Series10.1088/1742-6596/2639/1/012057
Conference
Rough Set Based Contour Approximation From Flickering Depth Images2021 International Conference on Emerging Smart Computing and Informatics (ESCI)10.1109/ESCI50559.2021.9396827
Chapter
A Robot-Based Cognitive Assessment Model Based on Visual Working Memory and Attention LevelUniversal Access in Human-Computer Interaction. Methods, Technologies, and Users10.1007/978-3-319-92049-8_43
Article
Medical Image Segmentation Using Fruit Fly Optimization and Density Peaks ClusteringComputational and Mathematical Methods in Medicine10.1155/2018/3052852
Article
Modified Distance Regularized Level Set Segmentation Based Analysis for Kidney Stone DetectionInternational Journal of Rough Sets and Data Analysis10.4018/ijrsda.2015070102
Chapter
Swarm Intelligence for Automatic Video Image Contrast AdjustmentBiometrics10.4018/978-1-5225-0983-7.ch009
Article
Random Search Based Efficient Chaotic Substitution Box Design for Image EncryptionInternational Journal of Rough Sets and Data Analysis10.4018/IJRSDA.2018040107
Chapter
A Comprehensive Report on Security and Privacy Challenges in Software as a ServiceMultidisciplinary Approaches to Service-Oriented Engineering10.4018/978-1-5225-5951-1.ch007
Chapter
Hybrid Multi-Objective Grey Wolf Search Optimizer and Machine Learning Approach for Software Bug PredictionHandbook of Research on Modeling, Analysis, and Control of Complex Systems10.4018/978-1-7998-5788-4.ch013
Article
Fuzzy Rough Set Based Technique for User Specific Information RetrievalInternational Journal of Rough Sets and Data Analysis10.4018/IJRSDA.2018100102
Article
An Artificial Intelligent Centered Object Inspection System Using Crucial ImagesInternational Journal of Rough Sets and Data Analysis10.4018/IJRSDA.2018010104
Chapter
Chaotic Map for Securing Digital ContentCyber Security and Threats10.4018/978-1-5225-5634-3.ch056
Article
Neighborhood Rough Set Approach With Biometric ApplicationInternational Journal of Sociotechnology and Knowledge Development10.4018/IJSKD.289041
Chapter
Study of Various Image Segmentation MethodologiesApplied Video Processing in Surveillance and Monitoring Systems10.4018/978-1-5225-1022-2.ch001
Chapter
A Comprehensive Report on Security and Privacy Challenges in Software as a ServiceResearch Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing10.4018/978-1-7998-5339-8.ch084
Chapter
Hybrid Data Mining Approach for Image Segmentation Based ClassificationBiometrics10.4018/978-1-5225-0983-7.ch064
Chapter
A Computational Model for Texture Analysis in Images with Fractional Differential Filter for Texture DetectionBiometrics10.4018/978-1-5225-0983-7.ch014
Chapter
Moth-Flame Optimization Algorithm Based Multilevel Thresholding for Image SegmentationIntelligent Systems10.4018/978-1-5225-5643-5.ch031
Article
Modified Dominance-Based Soft Set Approach for Feature SelectionInternational Journal of Sociotechnology and Knowledge Development10.4018/IJSKD.289036
Article
Rough Set Based Ad Hoc NetworkInternational Journal of Service Science, Management, Engineering, and Technology10.4018/ijssmet.2014100105
Chapter
Modified Distance Regularized Level Set Segmentation Based Analysis for Kidney Stone DetectionMedical Imaging10.4018/978-1-5225-0571-6.ch027
Article
Moth-Flame Optimization Algorithm Based Multilevel Thresholding for Image SegmentationInternational Journal of Applied Metaheuristic Computing10.4018/IJAMC.2017100104
Article
Hybrid Rough Set With Black Hole Optimization-Based Feature Selection Algorithm for Protein Structure PredictionInternational Journal of Sociotechnology and Knowledge Development10.4018/IJSKD.290657
Chapter
Data Security for Software as a ServiceWeb-Based Services10.4018/978-1-4666-9466-8.ch039
Chapter
Agile Supplier Assessment Using Generalized Interval-Valued Trapezoidal Fuzzy NumbersTechnological Innovations in Knowledge Management and Decision Support10.4018/978-1-5225-6164-4.ch004

Image Segmentation Using Rough Set Theory: A Review

Payel Roy, Srijan Goswami, Sayan Chakraborty, Ahmad Taher Azar, Nilanjan Dey

Source Title: International Journal of Rough Sets and Data Analysis (IJRSDA)1(2)

ISSN: 2334-4598|EISSN: 2334-4601|EISBN13: 9781466662414|DOI: 10.4018/ijrsda.2014070105

Cite Article Cite Article

MLA

Roy, Payel, et al. "Image Segmentation Using Rough Set Theory: A Review." IJRSDA vol.1, no.2 2014: pp.62-74. http://doi.org/10.4018/ijrsda.2014070105

APA

Roy, P., Goswami, S., Chakraborty, S., Azar, A. T., & Dey, N. (2014). Image Segmentation Using Rough Set Theory: A Review. International Journal of Rough Sets and Data Analysis (IJRSDA), 1(2), 62-74. http://doi.org/10.4018/ijrsda.2014070105

Chicago

Roy, Payel, et al. "Image Segmentation Using Rough Set Theory: A Review," International Journal of Rough Sets and Data Analysis (IJRSDA) 1, no.2: 62-74. http://doi.org/10.4018/ijrsda.2014070105

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

In the domain of image processing, image segmentation has become one of the key application that is involved in most of the image based operations. Image segmentation refers to the process of breaking or partitioning any image. Although, like several image processing operations, image segmentation also faces some problems and issues when segmenting process becomes much more complicated. Previously lot of work has proved that Rough-set theory can be a useful method to overcome such complications during image segmentation. The Rough-set theory helps in very fast convergence and in avoiding local minima problem, thereby enhancing the performance of the EM, better result can be achieved. During rough-set-theoretic rule generation, each band is individualized by using the fuzzy-correlation-based gray-level thresholding. Therefore, use of Rough-set in image segmentation can be very useful. In this paper, a summary of all previous Rough-set based image segmentation methods are described in detail and also categorized accordingly. Rough-set based image segmentation provides a stable and better framework for image segmentation.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

Image Segmentation Using Rough Set Theory: A Review

MLA

APA

Chicago

Export Reference

Abstract

Request Access