The effectiveness and efficiency of agglomerative hierarchic clustering in document retrieval
The effectiveness and efficiency of agglomerative hierarchic clustering in document retrieval
The dynamics of collective sorting robot-like ants and ant-like robots
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Diversity and adaptation in populations of clustering ants
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
On the performance of ant-based clustering
Design and application of hybrid intelligent systems
Ant-Based Clustering and Topographic Mapping
Artificial Life
Image Texture Segmentation with Ant Colony Systems
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1
Aggregation Pheromone Density Based Clustering
ICIT '06 Proceedings of the 9th International Conference on Information Technology
Object segmentation using ant colony optimization algorithm and fuzzy entropy
Pattern Recognition Letters
Aggregation pheromone density based data clustering
Information Sciences: an International Journal
Multivariate ant colony optimization in continuous search spaces
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Aggregation Pheromone Density Based Classification
ICIT '08 Proceedings of the 2008 International Conference on Information Technology
Aggregation pheromone density based image segmentation
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
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
Aggregation Pheromone Density Based Pattern Classification
Fundamenta Informaticae
A novel ant-based clustering algorithm using the kernel method
Information Sciences: an International Journal
Aggregation Pheromone Density Based Pattern Classification
Fundamenta Informaticae
Aggregation pheromone metaphor for semi-supervised classification
Pattern Recognition
A novel ant-based clustering algorithm using Renyi entropy
Applied Soft Computing
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Ants, bees and other social insects deposit pheromone (a type of chemical) in order to communicate between the members of their community. Pheromone that causes clumping or clustering behavior in a species and brings individuals into a closer proximity, is called aggregation pheromone. This paper presents a novel method for image segmentation considering the aggregation behavior of ants. Image segmentation is viewed as a clustering problem which aims to partition a given set of pixels into a number of homogenous clusters/segments. At each location of a data point, representing a pixel, an ant is placed; and the ants are allowed to move in the search space to find out positions with higher pheromone density. The movement of an ant is governed by the amount of pheromone deposited at different positions of the search space. More the deposited pheromone, more is the aggregation of ants. This leads to the formation of homogenous groups of data. The proposed algorithm is evaluated on a number of different types of images using various cluster validity measures. Results are compared with those obtained using k-means and mean shift clustering algorithms and are found to be superior.