A new minimum variance region growing algorithm for image segmentation
Pattern Recognition Letters
Comparison of edge detectors: a methodology and initial study
Computer Vision and Image Understanding
Watershed-based segmentation and region merging
Computer Vision and Image Understanding
Object Segmentation Using Feature Based Conditional Morphology
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Content-based image classification using a neural network
Pattern Recognition Letters
Texture representation based on pattern map
Signal Processing
Fast accurate fuzzy clustering through data reduction
IEEE Transactions on Fuzzy Systems
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Ontological recommendation multi-agent for Tainan City travel
Expert Systems with Applications: An International Journal
Segmentation of multispectral remote sensing images based on ant colony optimization algorithm
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
On ACO-Based Fuzzy Clustering for Image Segmentation
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Noise-robust binary segmentation based on ant colony system and modified fuzzy C-means algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Enhanced feature selection algorithm using Ant Colony Optimization and fuzzy memberships
BioMED '08 Proceedings of the Sixth IASTED International Conference on Biomedical Engineering
Frontiers of Computer Science in China
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Medical image segmentation by hybridizing ant colony optimization and fuzzy clustering algorithm
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
International Journal of Computer Applications in Technology
A new evaluation measure for color image segmentation based on genetic programming approach
Image and Vision Computing
Expert Systems with Applications: An International Journal
| Hi-index | 0.01 |
Ant colony algorithm (ACA), inspired by the food-searching behavior of ants, is an evolutionary algorithm and performs well in discrete optimization. In this paper, it is used for fuzzy clustering in image segmentation. Three features such as gray value, gradient and neighborhood of the pixels, are extracted for the searching and clustering process. Unexpectedly, tests show that it is time consuming when dealing with the vast image data. In view of this drawback, improvements have been made by initializing the clustering centers and enhancing the heuristic function to accelerate the searching process. Experiments and comparisons are done to show that the improved ACA-based image segmentation is an efficient and effective approach.