Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Performance Evaluation of Some Clustering Algorithms and Validity Indices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Designing of classifiers based on immune principles and fuzzy rules
Information Sciences: an International Journal
Multiobjective immune algorithm with nondominated neighbor-based selection
Evolutionary Computation
Clustering high dimensional data: A graph-based relaxed optimization approach
Information Sciences: an International Journal
Genetic fingerprinting for copyright protection of multicast media
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Bio-Inspired Information Hiding; Guest editors: Jeng-Shyang Pan, Ajith Abraham
Immune K-means and negative selection algorithms for data analysis
Information Sciences: an International Journal
BAIS: A Bayesian Artificial Immune System for the effective handling of building blocks
Information Sciences: an International Journal
Immune-based algorithms for dynamic optimization
Information Sciences: an International Journal
Cascade Markov random fields for stroke extraction of Chinese characters
Information Sciences: an International Journal
A hybrid genetic algorithm with the Baldwin effect
Information Sciences: an International Journal
Information Sciences: an International Journal
Baldwinian learning in clonal selection algorithm for optimization
Information Sciences: an International Journal
A fast and effective method for pruning of non-dominated solutions in many-objective problems
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
A refactoring method for cache-efficient swarm intelligence algorithms
Information Sciences: an International Journal
Evolutionary multi-objective optimization: a historical view of the field
IEEE Computational Intelligence Magazine
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multiscale image segmentation using wavelet-domain hidden Markov models
IEEE Transactions on Image Processing
Lip image segmentation using fuzzy clustering incorporating an elliptic shape function
IEEE Transactions on Image Processing
Design-based texture feature fusion using Gabor filters and co-occurrence probabilities
IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
Improving linear discriminant analysis with artificial immune system-based evolutionary algorithms
Information Sciences: an International Journal
Improving feature space based image segmentation via density modification
Information Sciences: an International Journal
Clustering via geometric median shift over Riemannian manifolds
Information Sciences: an International Journal
A novel fuzzy Dempster-Shafer inference system for brain MRI segmentation
Information Sciences: an International Journal
A co-evolutionary multi-objective optimization algorithm based on direction vectors
Information Sciences: an International Journal
Identification of multi-resolution network structures with multi-objective immune algorithm
Applied Soft Computing
Ant intelligence inspired blind data detection for ultra-wideband radar sensors
Information Sciences: an International Journal
CAPSO: Centripetal accelerated particle swarm optimization
Information Sciences: an International Journal
Natural Computing: an international journal
SAR image segmentation based on quantum-inspired multiobjective evolutionary clustering algorithm
Information Processing Letters
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Artificial immune systems (AIS) are the computational systems inspired by the principles and processes of the vertebrate immune system. AIS-based algorithms typically mimic the human immune system's characteristics of learning and adaptability to solve some complicated problems. Here, an artificial immune multi-objective optimization framework is formulated and applied to synthetic aperture radar (SAR) image segmentation. The important innovations of the framework are listed as follows: (1) an efficient and robust immune, multi-objective optimization algorithm is proposed, which has the features of adaptive rank clones and diversity maintenance by K-nearest-neighbor list; (2) besides, two conflicting, fuzzy clustering validity indices are incorporated into this framework and optimized simultaneously and (3) moreover, an effective, fused feature set for texture representation and discrimination is constructed and researched, which utilizes both the Gabor filter's ability to precisely extract texture features in low- and mid-frequency components and the gray level co-occurrence probability's (GLCP) ability to measure information in high-frequency. Two experiments with synthetic texture images and SAR images are implemented to evaluate the performance of the proposed framework in comparison with other five clustering algorithms: fuzzy C-means (FCM), single-objective genetic algorithm (SOGA), self-organizing map (SOM), wavelet-domain hidden Markov models (HMTseg), and spectral clustering ensemble (SCE). Experimental results show the proposed framework has obtained the better performance in segmenting SAR images than other five algorithms and behaves insensitive to the speckle noise.