Histogram thresholding by minimizing graylevel fuzziness
Information Sciences: an International Journal
Image segmentation using fuzzy correlation
Information Sciences: an International Journal
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
ACM Computing Surveys (CSUR)
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Levelings, Image Simplification Filters for Segmentation
Journal of Mathematical Imaging and Vision
Clustering high dimensional data: A graph-based relaxed optimization approach
Information Sciences: an International Journal
Robust fuzzy clustering-based image segmentation
Applied Soft Computing
Second Order Fuzzy Measure and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images
Fundamenta Informaticae
Generalized rough sets, entropy, and image ambiguity measures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
Information Sciences: an International Journal
Simplifying mixture models through function approximation
IEEE Transactions on Neural Networks
Data clustering by minimizing disconnectivity
Information Sciences: an International Journal
An adaptable threshold detector
Information Sciences: an International Journal
Artificial immune multi-objective SAR image segmentation with fused complementary features
Information Sciences: an International Journal
Satellite image segmentation with Shadowed C-Means
Information Sciences: an International Journal
A novel ant-based clustering algorithm using the kernel method
Information Sciences: an International Journal
A fuzzy minimax clustering model and its applications
Information Sciences: an International Journal
Rough Set Based Generalized Fuzzy -Means Algorithm and Quantitative Indices
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The estimation of the gradient of a density function, with applications in pattern recognition
IEEE Transactions on Information Theory
Automatic grey level thresholding through index of fuzziness and entropy
Pattern Recognition Letters
Generalized Flooding and Multicue PDE-Based Image Segmentation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A Bayesian Network Model for Automatic and Interactive Image Segmentation
IEEE Transactions on Image Processing
Information Sciences: an International Journal
| Hi-index | 0.07 |
Feature space based approaches have been popularly used to perform low-level image analysis. In this paper, a density modification framework that enhances density map based discriminability of feature values in a feature space is proposed in order to aid feature space based segmentation in images. The framework embeds a position-dependent property associated with each sample in the feature space of an image into the corresponding density map and hence modifies it. The property association and embedding operations in the framework is implemented using a fuzzy set theory based system devised with cues from beam theory of solid mechanics and the appropriateness of this approach is established. Qualitative and quantitative experimental results of segmentation in images are given to demonstrate the effectiveness of the proposed density modification framework and the usefulness of feature space based segmentation via density modification.