Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
Review: A review of ant algorithms
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
Computer Methods and Programs in Biomedicine
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
3-D object segmentation using ant colonies
Pattern Recognition
AntShrink: Ant colony optimization for image shrinkage
Pattern Recognition Letters
An Approach to Identify Optic Disc in Human Retinal Images Using Ant Colony Optimization Method
Journal of Medical Systems
Expert Systems with Applications: An International Journal
International Journal of Computer Applications in Technology
Bio-inspired multi-agent systems for reconfigurable manufacturing systems
Engineering Applications of Artificial Intelligence
Hi-index | 0.00 |
This study is an investigation of the application of ant colony optimization to image thresholding. This paper presents an approach where one ant is assigned to each pixel of an image and then moves around the image seeking low grayscale regions. Experimental results demonstrate that the proposed ant-based method performs better than other two established thresholding algorithms. Further work must be conducted to optimize the algorithm parameters, improve the analysis of the pheromone data and reduce computation time. However, the study indicates that an ant-based approach has the potential of becoming an established image thresholding technique.